{"Package":"abind","Version":"1.4-8","Depends":"R (>= 1.5.0)","Imports":"methods, utils","License":"MIT + file LICENSE","MD5sum":"7a440111cd1e24356d558ac55a65dc98","NeedsCompilation":"no","Author":"Tony Plate [aut, cre],\n Richard Heiberger [aut]","Authors.R":"c(person(\"Tony\", \"Plate\", email = \"tplate@acm.org\", role = c(\"aut\", \"cre\")), person(\"Richard\", \"Heiberger\", role = c(\"aut\")))","Date":"2024-09-08","Date.Publication":"2024-09-12 17:40:54 UTC","Description":"Combine multidimensional arrays into a single array. This is a generalization of 'cbind' and 'rbind'. Works with vectors, matrices, and higher-dimensional arrays (aka tensors). Also provides functions 'adrop', 'asub', and 'afill' for manipulating, extracting and replacing data in arrays.","Maintainer":"Tony Plate ","Packaged":"2024-09-11 21:58:20 UTC; tap","Title":"Combine Multidimensional Arrays","Published":"2024-09-12","Reverse.depends":"abctools, BCBCSF, CNORdt, CPMCGLM, crrcbcv, FactorCopula, FISHalyseR, forestplot, fractaldim, funLBM, interplot, magic, mlma, mlogitBMA, MultiPhen, multipol, mvmesh, mvProbit, mvSLOUCH, plfm, pop.lion, pop.wolf, population, RcmdrPlugin.EACSPIR, RcmdrPlugin.EBM, riboSeqR, rpm, S4Arrays, smfsb, spatstat.sparse, SphericalCubature, stars, zoib","Reverse.imports":"aifeducation, aihuman, alleHap, Apollonius, arm, Arothron, autoBagging, autoMFA, autonomics, baker, bamp, BATSS, BayesComm, BayesDLMfMRI, bayesPop, BayesRGMM, BayesS5, baySeq, BCClong, BEclear, berryFunctions, BGVAR, BigVAR, biomod2, bootnet, boral, brainGraph, brms, cape, car, Cascade, CFC, chkptstanr, cito, codez, colordistance, cols4all, communication, COMPASS, conos, cope, copre, CoTiMA, crunch, CSTools, curvir, cypress, diceR, dmbc, DmelSGI, dynamAedes, easyNCDF, EBImage, EBMAforecast, EMC2, EventPointer, eventstream, factoextra, fect, fic, fishpond, flocker, flowcatchR, fmerPack, funData, furrowSeg, gasmodel, GenericML, GeomArchetypal, georob, geostatsp, ggimg, ggspatial, GGUM, Gmisc, grec, greta, gsynth, GWEX, h5vc, hdiVAR, HH, HiLDA, Hmsc, IAcsSPCR, iCARH, imcRtools, iNEXT.beta3D, integIRTy, IPMbook, ISLET, isoWater, jenga, kamila, Karen, kgschart, lacunr, lambdaTS, latentnet, lavaSearch2, ldsep, LeMaRns, LifeInsureR, limorhyde2, lolR, long2lstmarray, LSDinterface, LSDirf, LSDsensitivity, MachineShop, magclass, mariner, mashr, MAST, mbest, mcmcderive, mcmcr, mcmsupply, merTools, MFPCA, mgc, micemd, MicroMoB, mlVAR, MM, mMARCH.AC, modnets, MonteCarlo, mpower, mrfDepth, MSEtool, multilevelcoda, ncdf4.helpers, NetRep, NetworkChange, neurobase, neuroim, nlist, oceanmap, OncoBayes2, openCR, OpenRepGrid, OPI, origami, oro.nifti, PAIRADISE, PartialNetwork, patternize, Patterns, pcalg, PCMBase, PCMBaseCpp, PLMIX, poliscidata, polyqtlR, posterior, postGGIR, postpack, pressuRe, profoc, projpred, proteus, PStrata, psychonetrics, qgraph, qtlpoly, quantspec, quest, r.jive, R2jags, RBesT, Rcmdr, RcmdrMisc, recolorize, rerddapXtracto, rfPermute, RItools, RLumCarlo, rma.exact, RNAinteract, RNCEP, rofanova, rrscale, rSHAPE, rtide, s2dv, SAMGEP, SAMtool, scpi, scTensor, secr, secrdesign, segmentSeq, SelectBoost, sharp, sjSDM, smacpod, smcfcs, snfa, SoundShape, spAbundance, spagmix, spant, SparseTSCGM, spatPomp, spatstat.explore, spatstat.model, SpecDetec, spinner, spNetwork, spOccupancy, ssdtools, startR, stfit, str2str, stratastats, swfscMisc, telefit, telescope, templateICAr, tensorBSS, TensorClustering, tensorTS, tetragon, tmap, torchvision, TSLSTMplus, Umatrix, uniformly, viewpoly, wavScalogram, webSDM, xLLiM, ZVCV","Reverse.suggests":"Anthropometry, autoimage, BayesfMRI, BGGM, bioimagetools, BloodCancerMultiOmics2017, camtrapR, changepoints, copula, detrendr, drake, fastcpd, gapfill, greta.dynamics, hilbertSimilarity, Hmisc, ijtiff, kyotil, meshed, mimager, multivator, nandb, paleomorph, plyr, RcmdrPlugin.EZR, RcmdrPlugin.NMBU, rosm, specieschrom, starsTileServer, TensorTest2D, tfhub","DOI":"10.32614/CRAN.package.abind"} {"Package":"actuar","Version":"3.3-4","Depends":"R (>= 4.1.0)","Imports":"stats, graphics, expint","LinkingTo":"expint","Suggests":"MASS","License":"GPL (>= 2)","MD5sum":"048b4426b58512deefe22efc30562b5b","NeedsCompilation":"yes","Author":"Vincent Goulet [cre, aut],\n Sebastien Auclair [ctb],\n Christophe Dutang [aut],\n Walter Garcia-Fontes [ctb],\n Nicholas Langevin [ctb],\n Xavier Milhaud [ctb],\n Tommy Ouellet [ctb],\n Alexandre Parent [ctb],\n Mathieu Pigeon [aut],\n Louis-Philippe Pouliot [ctb],\n Jeffrey A. Ryan [aut] (Package API),\n Robert Gentleman [aut] (Parts of the R to C interface),\n Ross Ihaka [aut] (Parts of the R to C interface),\n R Core Team [aut] (Parts of the R to C interface),\n R Foundation [aut] (Parts of the R to C interface)","Authors.R":"c(person(\"Vincent\", \"Goulet\", role = c(\"cre\", \"aut\"),\n \t email = \"vincent.goulet@act.ulaval.ca\"),\n\t person(\"Sebastien\", \"Auclair\", role = \"ctb\"),\n\t person(\"Christophe\", \"Dutang\", role = \"aut\",\n\t email = \"dutang@ceremade.dauphine.fr\"),\n\t person(\"Walter\", \"Garcia-Fontes\", role = \"ctb\",\n\t email = \"walter.garcia@upf.edu\"),\n\t person(\"Nicholas\", \"Langevin\", role = \"ctb\"),\n\t person(\"Xavier\", \"Milhaud\", role = \"ctb\"),\n\t person(\"Tommy\", \"Ouellet\", role = \"ctb\"),\n\t person(\"Alexandre\", \"Parent\", role = \"ctb\"),\n\t person(\"Mathieu\", \"Pigeon\", role = \"aut\",\n\t email = \"pigeon.mathieu.2@uqam.ca\"),\n\t person(\"Louis-Philippe\", \"Pouliot\", role = \"ctb\"),\n \t person(\"Jeffrey A.\", \"Ryan\", role = \"aut\",\n\t email = \"jeff.a.ryan@gmail.com\",\n\t\t comment = \"Package API\"),\n\t person(\"Robert\", \"Gentleman\", role = \"aut\",\n\t comment = \"Parts of the R to C interface\"),\n\t person(\"Ross\", \"Ihaka\", role = \"aut\",\n\t comment = \"Parts of the R to C interface\"),\n\t person(family = \"R Core Team\", role = \"aut\",\n\t comment = \"Parts of the R to C interface\"),\n\t person(family = \"R Foundation\", role = \"aut\",\n\t comment = \"Parts of the R to C interface\"))","BugReports":"https://gitlab.com/vigou3/actuar/-/issues","Classification.MSC.2010":"62P05, 91B30, 62G32","Date":"2023-11-07","Date.Publication":"2023-11-08 05:00:02 UTC","Description":"Functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. Support for many additional probability distributions to model insurance loss size and frequency: 23 continuous heavy tailed distributions; the Poisson-inverse Gaussian discrete distribution; zero-truncated and zero-modified extensions of the standard discrete distributions. Support for phase-type distributions commonly used to compute ruin probabilities. Main reference: . Implementation of the Feller-Pareto family of distributions: .","Encoding":"UTF-8","LazyData":"yes","Maintainer":"Vincent Goulet ","Packaged":"2023-11-08 01:10:54 UTC; vincent","Title":"Actuarial Functions and Heavy Tailed Distributions","Type":"Package","URL":"https://gitlab.com/vigou3/actuar","Published":"2023-11-08","Reverse.depends":"GofCens, stratifyR","Reverse.imports":"AnnuityRIR, BTSPAS, ChainLadder, CompDist, CompPareto, eoa3, episensr, fitur, FMAdist, kendallRandomWalks, mbbefd, orders, proteus, PTSR, ReliabilityTheory, RobExtremes, robmixglm, simPIC, ssd4mosaic, survstan, TidyDensity, univariateML","Reverse.suggests":"actuaRE, ChIPsim, distributional, extraDistr, fitdistrplus, fitteR, flexmix, GeneralizedHyperbolic, GeoModels, HyperbolicDist, OneStep, PhaseType, PredictionR, raw, ruin, sageR, SPLICE, SynthETIC","DOI":"10.32614/CRAN.package.actuar"} {"Package":"aiRthermo","Version":"1.2.1","License":"GPL-3","MD5sum":"6f9b62383d4f2d63073d441acdae8c2b","NeedsCompilation":"yes","Author":"Jon Saenz, Santos J. Gonzalez-Roji, Sheila Carreno-Madinabeitia and Gabriel Ibarra-Berastegi","Date":"2018-09-14","Date.Publication":"2018-09-16 22:40:03 UTC","Description":"Deals with many computations related to the thermodynamics of atmospheric processes. It includes many functions designed to consider the density of air with varying degrees of water vapour in it, saturation pressures and mixing ratios, conversion of moisture indices, computation of atmospheric states of parcels subject to dry or pseudoadiabatic vertical evolutions and atmospheric instability indices that are routinely used for operational weather forecasts or meteorological diagnostics.","Encoding":"UTF-8","Maintainer":"Santos J. Gonzalez-Roji ","Packaged":"2018-09-15 12:34:05 UTC; Santitxu","Title":"Atmospheric Thermodynamics and Visualization","Type":"Package","Published":"2018-09-16","Reverse.imports":"thunder","DOI":"10.32614/CRAN.package.aiRthermo"} {"Package":"AmmoniaConcentration","Version":"0.1","License":"MIT + file LICENSE","MD5sum":"16f068aa617c91efe64b5fa578bea19a","NeedsCompilation":"no","Author":"Monica Serra and Felipe Tumenas Marques ","Date.Publication":"2016-12-05 08:27:18","Description":"Provides a function to calculate the concentration of un-ionized ammonia in the total ammonia in aqueous solution using the pH and temperature values.","Maintainer":"Felipe Tumenas Marques ","Packaged":"2016-12-04 18:34:58 UTC; tumenas","Title":"Un-Ionized Ammonia Concentration","URL":"https://github.com/tumenas/ammonia","Published":"2016-12-05","DOI":"10.32614/CRAN.package.AmmoniaConcentration"} {"Package":"AnnuityRIR","Version":"1.0-0","Depends":"R (>= 3.2.5), mc2d","Imports":"tseries, EnvStats, fitdistrplus, actuar, stats","Suggests":"MASS","License":"GPL (>= 2)","MD5sum":"4d35f503a422974d126f35fac685f912","NeedsCompilation":"no","Author":"Salvador Cruz Rambaud [aut],\n Fabrizio Maturo [aut, cre],\n Ana Maria Sanchez Perez [aut]","Authors.R":"c(person(\"Salvador Cruz\", \"Rambaud\", role = \"aut\", email = \"scruz@ual.es\"),\n\t\t person(\"Fabrizio\", \"Maturo\", role = c(\"aut\", \"cre\"), email = \"f.maturo@unich.it\"),\n\t person(\"Ana Maria\", \"Sanchez Perez\", role = \"aut\", email = \"amsanchez@ual.es\")) ","BugReports":"https://github.com/fabriziomaturo/AnnuityRIR","Date":"2017-11-03","Date.Publication":"2017-11-03 23:27:44 UTC","Description":"Annuity Random Interest Rates proposes different techniques for the approximation of the present and final value of a unitary annuity-due or annuity-immediate considering interest rate as a random variable. Cruz Rambaud et al. (2017) . Cruz Rambaud et al. (2015) .","Maintainer":"Fabrizio Maturo ","Packaged":"2017-11-03 20:42:50 UTC; fabma","Title":"Annuity Random Interest Rates","URL":"https://www.r-project.org","Published":"2017-11-03","DOI":"10.32614/CRAN.package.AnnuityRIR"} {"Package":"AquaEnv","Version":"1.0-4","Depends":"R (>= 2.15.0)","Imports":"minpack.lm, graphics, grDevices, stats","Suggests":"deSolve","License":"GPL (>= 2)","MD5sum":"e429401dd10645ddcbcdd01847cb677a","NeedsCompilation":"no","Author":"Andreas F. Hofmann, Karline Soetaert, Filip J.R. Meysman, \n Mathilde Hagens","Date.Publication":"2016-09-06 16:39:52","Description":"Toolbox for the experimental aquatic chemist, focused on acidification and CO2 air-water exchange. It contains all elements to model the pH, the related CO2 air-water exchange, and aquatic acid-base chemistry for an arbitrary marine, estuarine or freshwater system. It contains a suite of tools for sensitivity analysis, visualisation, modelling of chemical batches, and can be used to build dynamic models of aquatic systems. As from version 1.0-4, it also contains functions to calculate the buffer factors. ","LazyData":"yes","Maintainer":"Karline Soetaert ","Packaged":"2016-09-05 14:07:37 UTC; rforge","Title":"Integrated Development Toolbox for Aquatic Chemical Model Generation","Published":"2016-09-06","DOI":"10.32614/CRAN.package.AquaEnv"} {"Package":"automl","Version":"1.3.2","Imports":"stats, utils, parallel","Suggests":"datasets","License":"GNU General Public License","MD5sum":"eb498dbd5e5622fe53d0e772593937b0","NeedsCompilation":"no","Author":"Alex Boulange [aut, cre]","Authors.R":"person(\"Alex\", \"Boulange\", role = c(\"aut\", \"cre\"), email = \"aboul@free.fr\")","BugReports":"https://github.com/aboulaboul/automl/issues","Date.Publication":"2020-01-16 11:40:09 UTC","Description":"Fits from simple regression to highly customizable deep neural networks either with gradient descent or metaheuristic, using automatic hyper parameters tuning and custom cost function. A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.","Encoding":"UTF-8","LazyData":"TRUE","Maintainer":"Alex Boulange ","Packaged":"2020-01-16 11:25:44 UTC; aboul","Title":"Deep Learning with Metaheuristic","Type":"Package","URL":"https://aboulaboul.github.io/automl\nhttps://github.com/aboulaboul/automl","Published":"2020-01-16","DOI":"10.32614/CRAN.package.automl"} {"Package":"boot","Version":"1.3-31","Priority":"recommended","Depends":"R (>= 3.0.0), graphics, stats","Suggests":"MASS, survival","License":"Unlimited","MD5sum":"5ef4c12dd6f7c2066ce33c6290675731","NeedsCompilation":"no","Author":"Angelo Canty [aut] (author of original code for S),\n Brian Ripley [aut, trl] (conversion to R, maintainer 1999--2022, author\n of parallel support),\n Alessandra R. Brazzale [ctb, cre] (minor bug fixes)","Authors.R":"c(person(\"Angelo\", \"Canty\", role = \"aut\",\n\t email = \"cantya@mcmaster.ca\", \n comment = \"author of original code for S\"),\n person(\"Brian\", \"Ripley\", role = c(\"aut\", \"trl\"),\n email = \"ripley@stats.ox.ac.uk\",\n\t\t comment = \"conversion to R, maintainer 1999--2022, author of parallel support\"),\n person(\"Alessandra R.\", \"Brazzale\", role = c(\"ctb\", \"cre\"),\n email = \"brazzale@stat.unipd.it\",\n\t\t comment = \"minor bug fixes\"))","ByteCompile":"yes","Date":"2024-08-28","Date.Publication":"2024-08-28 13:20:02 UTC","Description":"Functions and datasets for bootstrapping from the book \"Bootstrap Methods and Their Application\" by A. C. Davison and D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.","LazyData":"yes","Maintainer":"Alessandra R. Brazzale ","Note":"Maintainers are not available to give advice on using a package\nthey did not author.","Packaged":"2024-08-28 08:17:05 UTC; brazzale","Title":"Bootstrap Functions (Originally by Angelo Canty for S)","Published":"2024-08-28","Reverse.depends":"acde, addhaz, BACprior, BCEE, bcROCsurface, bda, bootES, briKmeans, cardidates, CircStats, Comp2ROC, Compind, cramer, dawai, DCluster, dhglm, EDOIF, equivalence, experiment, frailtypack, funmediation, gb, Hiiragi2013, hsem, mdhglm, MDSGUI, MisRepARMA, NegBinBetaBinreg, Oncotree, ordinalCont, phase1RMD, QuantPsyc, R2WinBUGS, random.polychor.pa, reglogit, relaimpo, ROCpAI, ROntoTools, rtip, simboot, texteffect, tlm, truncSP, verification","Reverse.imports":"adegenet, adjROC, adventr, aggTrees, AgroReg, aides, apaTables, ArCo, argo, ARGOS, AssetCorr, autoReg, bandit, bayesGAM, BayesianPlatformDesignTimeTrend, biotools, bispdep, bistablehistory, blrm, boot.pval, bootLR, bootPLS, brlrmr, BSagri, btergm, calibmsm, cases, cassandRa, CausalModels, childsds, ChIPseeker, chngpt, CIfinder, circular, circumplex, ciTools, CleaningValidation, climextRemes, clustAnalytics, cocotest, complmrob, confintr, contingencytables, CopulaCenR, CorrBin, Countr, Cronbach, crs, CsChange, dabestr, dagitty, deming, dendroTools, DescTools, did2s, dineq, discharge, disprofas, dissever, distdichoR, doBy, dplR, DSAIRM, Durga, dwp, eatRep, echo.find, ed50, ed50simulation, eggCounts, emdi, ems, energy, EnMCB, enmSdmX, episensr, EQUALSTATS, EstimationTools, estprod, EvaluateCore, EValue, evoper, extremeIndex, extremogram, facmodTS, finalfit, fishmethods, flexsurvcure, flocker, frair, frechet, ftsa, gamRR, GeneralOaxaca, glmnetSE, gmGeostats, GofCens, graphPAF, h2otools, HanStat, hdpca, ic.infer, ICED, iClick, InformativeCensoring, interactionRCS, iNZightPlots, IOLS, its.analysis, jocre, JOPS, Kendall, KMD, L2DensityGoFtest, laeken, lancor, LCAextend, LEGIT, les, lme4, LorenzRegression, LSDinterface, LSDirf, LUCIDus, lulab.utils, manymome, MarginalMediation, mase, MBESS, mcradds, mdpeer, medflex, mediateP, mediation, mem, MetaIntegrator, metaplus, mgc, mhazard, MIIVsem, mixcure, MixedPsy, MKinfer, modifiedmk, ModStatR, moveHMM, MplusAutomation, mpower, mudfold, multiROC, multiwayvcov, MVN, MWASTools, netdiffuseR, nlraa, np, OLStrajr, OptimaRegion, pairwiseCI, panelhetero, paramtest, pastecs, paths, PCRA, pct, perspectev, pgirmess, PharmacoGx, phenesse, phylosignal, plsgenomics, plsRbeta, plsRglm, PointFore, polyapost, PopED, poppr, povmap, psBayesborrow, psychmeta, pubmed.mineR, QFASA, Qtools, quest, R2OpenBUGS, r4lineups, randomLCA, raptr, rcompanion, Rcurvep, reappraised, referenceIntervals, refund, repmod, RESI, restriktor, reverseR, riskCommunicator, risks, Rnits, robmed, robmixglm, RPESE, rtrend, RVAideMemoire, safestats, SAME, sampcompR, satuRn, SCBmeanfd, sccomp, scone, seedreg, sem, semEff, SEMgraph, semhelpinghands, sensitivity, sensobol, Sequential, sevenC, shotGroups, simmr, simpleboot, SimplyAgree, sisal, SiZer, smiles, soilphysics, SongEvo, SortedEffects, spaMM, spatialreg, SpatialVx, spdep, spsurvey, StackImpute, stdmod, subscore, SynDI, tbea, tbrf, tectonicr, ThresholdROCsurvival, TraMineR, TRexSelector, tRigon, tsBSS, UNDO, uotm, vimp, visualFields, welo, wrappedtools, yhat, yuima","Reverse.suggests":"abd, abn, AER, aod, asbio, bayesboot, BioCor, brainGraph, broom, CaDENCE, car, cond, cv, DAAG, dartR, dartR.base, datawizard, dominanceanalysis, effectsize, emplik, EnvStats, ezCutoffs, fwb, GEVcdn, glmmTMB, globaltest, gMCP, Greg, gsubfn, horseshoenlm, HSAUR, HSAUR2, HSAUR3, incubate, insight, investr, ipw, ISEtools, isobar, jaatha, jtools, kim, LambertW, logmult, marg, marginaleffects, MatchIt, meboot, Mestim, metafor, mev, mirt, MSEtool, multilevelmediation, multiverse, nlreg, npsm, optmatch, papaja, parameters, performance, PoweREST, proftools, PRSim, psm3mkv, Qindex, R2HTML, Rcmdr, RcmdrMisc, regmedint, rempsyc, rgsepd, riskRegression, rms, robustbase, RPPASPACE, rstatix, rTPC, scdhlm, simhelpers, simTool, Statsomat, superb, table1, tablet, tidybulk, tranSurv, Wats, wrMisc, wrTopDownFrag","DOI":"10.32614/CRAN.package.boot"} {"Package":"brew","Version":"1.0-10","Suggests":"testthat (>= 3.0.0)","License":"GPL (>= 2)","MD5sum":"c1ebbea7284161a8884ffe9ae5ca451f","NeedsCompilation":"no","Author":"Jeffrey Horner [aut, cph],\n Greg Hunt [aut, cre, cph]","Authors.R":"c(\n person(\"Jeffrey\", \"Horner\", role = c(\"aut\", \"cph\")),\n person(\"Greg\", \"Hunt\", , \"greg@firmansyah.com\", role = c(\"aut\", \"cre\", \"cph\"))\n )","BugReports":"https://github.com/gregfrog/brew/issues","Date.Publication":"2023-12-16 08:30:02 UTC","Description":"Implements a templating framework for mixing text and R code for report generation. brew template syntax is similar to PHP, Ruby's erb module, Java Server Pages, and Python's psp module.","Encoding":"UTF-8","Maintainer":"Greg Hunt ","Packaged":"2023-12-16 07:21:30 UTC; greg","Title":"Templating Framework for Report Generation","Type":"Package","URL":"https://github.com/gregfrog/brew","Published":"2023-12-16","Reverse.depends":"sos","Reverse.imports":"BatchJobs, batchtools, boxly, cola, diezeit, forestly, GladiaTOX, leafpop, link2GI, opencpu, pkgndep, rdnb, Rook, roxygen2, RWsearch, tinyProject, uavRmp, WebAnalytics","Reverse.suggests":"remotes","DOI":"10.32614/CRAN.package.brew"} {"Package":"Brobdingnag","Version":"1.2-9","Depends":"R (>= 2.13.0), methods, Matrix (>= 1.5-0)","Suggests":"cubature, testthat","License":"GPL","MD5sum":"0933a3366ef2f614998e8feee06473cc","NeedsCompilation":"no","Author":"Robin K. S. Hankin [aut, cre] ()","Authors.R":"person(given=c(\"Robin\", \"K. S.\"), family=\"Hankin\", role = c(\"aut\",\"cre\"), email=\"hankin.robin@gmail.com\", comment = c(ORCID = \"0000-0001-5982-0415\"))","Date.Publication":"2022-10-19 10:50:02 UTC","Description":"Very large numbers in R. Real numbers are held using their natural logarithms, plus a logical flag indicating sign. Functionality for complex numbers is also provided. The package includes a vignette that gives a step-by-step introduction to using S4 methods.","Maintainer":"Robin K. S. Hankin ","Packaged":"2022-10-19 08:16:38 UTC; rhankin","Title":"Very Large Numbers in R","Type":"Package","URL":"https://github.com/RobinHankin/Brobdingnag","Published":"2022-10-19","Reverse.depends":"funpca","Reverse.imports":"BGPhazard, BMTAR, bridgesampling, eBsc, EMC2, gmvarkit, momentuHMM, MPTinR, multibridge, multimark, uGMAR, untb","DOI":"10.32614/CRAN.package.Brobdingnag"} {"Package":"bsearchtools","Version":"0.0.61","Imports":"Rcpp (>= 0.12.4)","LinkingTo":"Rcpp","License":"GPL (>= 2)","MD5sum":"230426769eb07a133b56cbd0aa3cd8cf","NeedsCompilation":"yes","Author":"Marco Giuliano","BugReports":"https://github.com/digEmAll/bsearchtools/issues","Date":"2017-02-22","Date.Publication":"2017-02-22 23:26:43","Description":"Exposes the binary search functions of the C++ standard library (std::lower_bound, std::upper_bound) plus other convenience functions, allowing faster lookups on sorted vectors.","Maintainer":"Marco Giuliano ","Packaged":"2017-02-22 17:47:41 UTC; marco","Title":"Binary Search Tools","Type":"Package","URL":"https://github.com/digEmAll/bsearchtools","Published":"2017-02-22","DOI":"10.32614/CRAN.package.bsearchtools"} {"Package":"BTSPAS","Version":"2024.5.9","Imports":"actuar, coda, data.table, ggplot2, ggforce, graphics,\ngrDevices, gridExtra, plyr, reshape2, R2jags, scales, splines,\nstats, utils","Suggests":"R.rsp","License":"GPL (>= 2)","MD5sum":"e6fd463cd5df19897cdd70a1409f6f86","NeedsCompilation":"no","Author":"Carl J Schwarz and\n\tSimon J Bonner ","Date":"2024-05-09","Date.Publication":"2024-05-10 22:03:03 UTC","Description":"Provides advanced Bayesian methods to estimate abundance and run-timing from temporally-stratified Petersen mark-recapture experiments. Methods include hierarchical modelling of the capture probabilities and spline smoothing of the daily run size. Theory described in Bonner and Schwarz (2011) .","Maintainer":"Carl J Schwarz ","Packaged":"2024-05-10 21:36:22 UTC; cschwarz","SystemRequirements":"JAGS","Title":"Bayesian Time-Stratified Population Analysis","URL":"https://github.com/cschwarz-stat-sfu-ca/BTSPAS","VignetteBuilder":"R.rsp","Published":"2024-05-10","Reverse.imports":"Petersen","DOI":"10.32614/CRAN.package.BTSPAS"} {"Package":"CalibratR","Version":"0.1.2","Depends":"R (>= 2.10.0)","Imports":"ggplot2, pROC, reshape2, parallel, foreach, stats,\nfitdistrplus, doParallel","License":"LGPL-3","MD5sum":"c66d1d7301323fcebd4e2a390c29c748","NeedsCompilation":"no","Author":"Johanna Schwarz, Dominik Heider","Date.Publication":"2019-08-19 13:00:05 UTC","Description":"Transforms your uncalibrated Machine Learning scores to well-calibrated prediction estimates that can be interpreted as probability estimates. The implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini (2015, ISBN:0-262-51129-0). Please cite this paper: Schwarz J and Heider D, Bioinformatics 2019, 35(14):2458-2465.","Encoding":"UTF-8","LazyData":"true","Maintainer":"Dominik Heider ","Packaged":"2019-08-19 12:29:09 UTC; dominikheider","Title":"Mapping ML Scores to Calibrated Predictions","Type":"Package","Published":"2019-08-19","Reverse.suggests":"ENMTools","DOI":"10.32614/CRAN.package.CalibratR"} {"Package":"canprot","Version":"2.0.0","Depends":"R (>= 3.1.0)","Imports":"stringi, multcompView","Suggests":"knitr, rmarkdown, tinytest, CHNOSZ (>= 1.3.4)","License":"GPL-3","MD5sum":"baca332d4f24958a087e2a48900567ee","NeedsCompilation":"no","Author":"Jeffrey Dick [aut, cre] ()","Authors.R":"c(\n person(\"Jeffrey\", \"Dick\", email = \"j3ffdick@gmail.com\", role = c(\"aut\", \"cre\"),\n comment = c(ORCID = \"0000-0002-0687-5890\"))\n )","BuildResaveData":"no","Date":"2024-03-28","Date.Publication":"2024-03-28 16:00:13 UTC","Description":"Chemical analysis of proteins based on their amino acid compositions. Amino acid compositions can be read from FASTA files and used to calculate chemical metrics including carbon oxidation state and stoichiometric hydration state, as described in Dick et al. (2020) . Other properties that can be calculated include protein length, grand average of hydropathy (GRAVY), isoelectric point (pI), molecular weight (MW), standard molal volume (V0), and metabolic costs (Akashi and Gojobori, 2002 ; Wagner, 2005 ; Zhang et al., 2018 ). A database of amino acid compositions of human proteins derived from UniProt is provided.","Encoding":"UTF-8","Maintainer":"Jeffrey Dick ","Packaged":"2024-03-28 06:11:03 UTC; jedick","Title":"Chemical Analysis of Proteins","URL":"https://github.com/jedick/canprot","VignetteBuilder":"knitr","Published":"2024-03-28","Reverse.imports":"chem16S","DOI":"10.32614/CRAN.package.canprot"} {"Package":"cascsim","Version":"0.4","Depends":"R (>= 3.4.0)","Imports":"parallel, R2HTML, fitdistrplus, moments, copula,\nscatterplot3d, methods","Suggests":"knitr, rmarkdown","License":"GPL-3","MD5sum":"c66a0b7c1786158e26020a9cd7ff6b69","NeedsCompilation":"no","Author":"Robert Bear [aut],\n Kailan Shang [aut, cre],\n Hai You [aut],\n Brian Fannin [ctb]","Authors.R":"c(\n person(\"Robert\", \"Bear\", email = \"rbear@reserveprism.com\", role = \"aut\"),\n person(\"Kailan\", \"Shang\", email = \"klshang81@gmail.com\", role = c(\"aut\",\"cre\")),\n person(\"Hai\", \"You\", email = \"hyou@reserveprism.com\", role = \"aut\"),\n\tperson(\"Brian\", \"Fannin\", email = \"bfannin@casact.org\", role = \"ctb\"))","Date.Publication":"2020-01-13 09:20:13 UTC","Description":"It is an open source insurance claim simulation engine sponsored by the Casualty Actuarial Society. It generates individual insurance claims including open claims, reopened claims, incurred but not reported claims and future claims. It also includes claim data fitting functions to help set simulation assumptions. It is useful for claim level reserving analysis. Parodi (2013) .","Encoding":"UTF-8","LazyData":"true","Maintainer":"Kailan Shang ","Packaged":"2020-01-12 01:36:22 UTC; Kailan","Title":"Casualty Actuarial Society Individual Claim Simulator","VignetteBuilder":"knitr","Published":"2020-01-13","DOI":"10.32614/CRAN.package.cascsim"} {"Package":"ChainLadder","Version":"0.2.19","Imports":"Matrix, actuar, methods, stats, lattice, grid, tweedie, utils,\nsystemfit, statmod, cplm (>= 0.7-3), ggplot2, MASS","Suggests":"RUnit, knitr, rmarkdown","License":"GPL (>= 2)","MD5sum":"5c31994ae07d4a798116e171a81c621a","NeedsCompilation":"no","Author":"Markus Gesmann [aut, cre],\n Daniel Murphy [aut],\n Yanwei (Wayne) Zhang [aut],\n Alessandro Carrato [aut],\n Giuseppe Crupi [ctb],\n Christophe Dutang [ctb],\n Arnaud Lacoume [ctb],\n Arthur Charpentier [ctb],\n Mario Wuthrich [aut],\n Fabio Concina [aut],\n Eric Dal Moro [aut],\n Yuriy Krvavych [ctb],\n Vincent Goulet [ctb],\n Marco De Virgilis [ctb],\n Marco Spina [ctb]","Authors.R":"c(person(\"Markus\", \"Gesmann\", role = c(\"aut\", \"cre\"),\n email = \"markus.gesmann@googlemail.com\"),\n person(\"Daniel\", \"Murphy\", role = \"aut\", \n email=\"danielmarkmurphy@gmail.com\"),\n person(\"Yanwei (Wayne)\", \"Zhang\", role = \"aut\", \n email=\"actuary_zhang@hotmail.com\"),\n person(\"Alessandro\", \"Carrato\", role = \"aut\", \n email=\"alessandro.carrato@gmail.com\"),\n person(\"Giuseppe\", \"Crupi\", role=\"ctb\",\n email=\"crupi.giuseppe@gmail.com\"),\n person(\"Christophe\", \"Dutang\", role=\"ctb\"),\n person(\"Arnaud\", \"Lacoume\", role=\"ctb\"), \n person(\"Arthur\", \"Charpentier\", role = \"ctb\"),\n person(\"Mario\", \"Wuthrich\", role = \"aut\",\n email = \"mario.wuethrich@math.ethz.ch\"),\n person(\"Fabio\", \"Concina\", role=\"aut\",\n email=\"fabio.concina@gmail.com\"),\n person(\"Eric\", \"Dal Moro\", role=\"aut\", \n email=\"eric_dal_moro@yahoo.com\"),\n person(\"Yuriy\", \"Krvavych\", role=\"ctb\", \n email=\"y.krvavych@gmail.com\"),\n person(\"Vincent\", \"Goulet\", role=\"ctb\",\n email=\"vincent.goulet@act.ulaval.ca\"),\n person(\"Marco\", \"De Virgilis\", role=\"ctb\",\n email=\"devirgilis.marco@gmail.com\"),\n person(\"Marco\", \"Spina\", role=\"ctb\")\n ) ","BugReports":"https://github.com/mages/ChainLadder/issues","Date":"2024-07-21","Date.Publication":"2024-07-21 21:00:02 UTC","Description":"Various statistical methods and models which are typically used for the estimation of outstanding claims reserves in general insurance, including those to estimate the claims development result as required under Solvency II.","LazyData":"yes","LazyLoad":"yes","Maintainer":"Markus Gesmann ","Packaged":"2024-07-21 20:27:21 UTC; mages","Title":"Statistical Methods and Models for Claims Reserving in General Insurance","Type":"Package","URL":"https://mages.github.io/ChainLadder/","VignetteBuilder":"knitr","Published":"2024-07-21","Reverse.imports":"apc, clmplus","Reverse.suggests":"raw","DOI":"10.32614/CRAN.package.ChainLadder"} {"Package":"CHNOSZ","Version":"2.1.0","Depends":"R (>= 3.1.0)","Imports":"grDevices, graphics, stats, utils","Suggests":"tinytest, knitr, rmarkdown, tufte","License":"GPL-3","MD5sum":"00d2ed5999c047c546132ce4c9e87909","NeedsCompilation":"yes","Author":"Jeffrey Dick [aut, cre] ()","Authors.R":"c(\n person(\"Jeffrey\", \"Dick\", , \"j3ffdick@gmail.com\", role = c(\"aut\", \"cre\"),\n comment = c(ORCID = \"0000-0002-0687-5890\"))\n )","Date":"2024-02-11","Date.Publication":"2024-02-11 13:40:02 UTC","Description":"An integrated set of tools for thermodynamic calculations in aqueous geochemistry and geobiochemistry. Functions are provided for writing balanced reactions to form species from user-selected basis species and for calculating the standard molal properties of species and reactions, including the standard Gibbs energy and equilibrium constant. Calculations of the non-equilibrium chemical affinity and equilibrium chemical activity of species can be portrayed on diagrams as a function of temperature, pressure, or activity of basis species; in two dimensions, this gives a maximum affinity or predominance diagram. The diagrams have formatted chemical formulas and axis labels, and water stability limits can be added to Eh-pH, oxygen fugacity- temperature, and other diagrams with a redox variable. The package has been developed to handle common calculations in aqueous geochemistry, such as solubility due to complexation of metal ions, mineral buffers of redox or pH, and changing the basis species across a diagram (\"mosaic diagrams\"). CHNOSZ also implements a group additivity algorithm for the standard thermodynamic properties of proteins.","Encoding":"UTF-8","Maintainer":"Jeffrey Dick ","Packaged":"2024-02-11 13:02:38 UTC; jedick","Title":"Thermodynamic Calculations and Diagrams for Geochemistry","URL":"https://www.chnosz.net/,\nhttps://r-forge.r-project.org/projects/chnosz/","VignetteBuilder":"knitr","Published":"2024-02-11","Reverse.imports":"accucor, ecipex, LipidMS","Reverse.suggests":"canprot","DOI":"10.32614/CRAN.package.CHNOSZ"} {"Package":"class","Version":"7.3-22","Priority":"recommended","Depends":"R (>= 3.0.0), stats, utils","Imports":"MASS","License":"GPL-2 | GPL-3","MD5sum":"8b205d2ef6196c1c637b9d62ee026551","NeedsCompilation":"yes","Author":"Brian Ripley [aut, cre, cph],\n William Venables [cph]","Authors.R":"c(person(\"Brian\", \"Ripley\", role = c(\"aut\", \"cre\", \"cph\"),\n email = \"ripley@stats.ox.ac.uk\"),\n person(\"William\", \"Venables\", role = \"cph\"))","ByteCompile":"yes","Date":"2023-05-02","Date.Publication":"2023-05-03 11:01:28 UTC","Description":"Various functions for classification, including k-nearest neighbour, Learning Vector Quantization and Self-Organizing Maps.","Maintainer":"Brian Ripley ","Packaged":"2023-05-02 16:15:43 UTC; ripley","Title":"Functions for Classification","URL":"http://www.stats.ox.ac.uk/pub/MASS4/","Published":"2023-05-03","Reverse.depends":"BarcodingR, clv, ddalpha, LearnPCA, longitudinalData, maPredictDSC, mda, MOCCA, Modalclust, MTPS, multisom","Reverse.imports":"AdaSampling, agghoo, chemometrics, childsds, classifly, classInt, clValid, cogena, daltoolbox, decisionSupport, DeepLearningCausal, demuxSNP, diceR, DMwR2, e1071, evaluomeR, flexclust, flowBin, fpc, GHap, HistDAWass, ipred, KMEANS.KNN, lineup, lisaClust, liver, MAIT, MBHdesign, MBMethPred, mlearning, Modeler, MorphoTools2, mt, nnlib2Rcpp, npsm, OTclust, prcr, pRoloc, qkerntool, RAIDS, RaSEn, RclusTool, rgnoisefilt, RPEnsemble, sClust, scone, signeR, sigQC, smallstuff, som.nn, spathial, stylo, supclust, symphony, triptych, twoddpcr, uHMM","Reverse.suggests":"animation, catdata, ClassifyR, CMA, Evacluster, fdm2id, flowml, frbs, FRESA.CAD, fscaret, genefilter, hmeasure, loon.tourr, mapsFinland, mlexperiments, MLInterfaces, mlr, origami, RoughSets, shipunov, subsemble, SuperLearner, superMICE, TBSignatureProfiler, TunePareto","DOI":"10.32614/CRAN.package.class"} {"Package":"cluster","Version":"2.1.6","Priority":"recommended","Depends":"R (>= 3.5.0)","Imports":"graphics, grDevices, stats, utils","Suggests":"MASS, Matrix","Enhances":"mvoutlier, fpc, ellipse, sfsmisc","License":"GPL (>= 2)","MD5sum":"efd3ba0d58a6dd575b977c84086eb86a","NeedsCompilation":"yes","Author":"Martin Maechler [aut, cre] (),\n Peter Rousseeuw [aut] (Fortran original,\n ),\n Anja Struyf [aut] (S original),\n Mia Hubert [aut] (S original, ),\n Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000),\n ),\n Matthias Studer [ctb],\n Pierre Roudier [ctb],\n Juan Gonzalez [ctb],\n Kamil Kozlowski [ctb],\n Erich Schubert [ctb] (fastpam options for pam(),\n ),\n Keefe Murphy [ctb] (volume.ellipsoid({d >= 3}))","Authors.R":"c(person(\"Martin\",\"Maechler\", role = c(\"aut\",\"cre\"),\n\t email=\"maechler@stat.math.ethz.ch\", comment = c(ORCID = \"0000-0002-8685-9910\"))\n ,person(\"Peter\", \"Rousseeuw\", role=\"aut\", email=\"peter.rousseeuw@kuleuven.be\",\n comment = c(\"Fortran original\", ORCID = \"0000-0002-3807-5353\"))\n ,person(\"Anja\", \"Struyf\", role=\"aut\", comment= \"S original\")\n ,person(\"Mia\", \"Hubert\", role=\"aut\", email= \"Mia.Hubert@uia.ua.ac.be\",\n comment = c(\"S original\", ORCID = \"0000-0001-6398-4850\"))\n ,person(\"Kurt\", \"Hornik\", role=c(\"trl\", \"ctb\"),\n email=\"Kurt.Hornik@R-project.org\",\n comment=c(\"port to R; maintenance(1999-2000)\", ORCID=\"0000-0003-4198-9911\"))\n ,person(\"Matthias\", \"Studer\", role=\"ctb\")\n ,person(\"Pierre\", \"Roudier\", role=\"ctb\")\n ,person(\"Juan\", \"Gonzalez\", role=\"ctb\")\n ,person(\"Kamil\", \"Kozlowski\", role=\"ctb\")\n ,person(\"Erich\", \"Schubert\", role=\"ctb\", comment = c(\"fastpam options for pam()\",\n ORCID = \"0000-0001-9143-4880\"))\n ,person(\"Keefe\", \"Murphy\", role=\"ctb\", comment = \"volume.ellipsoid({d >= 3})\")\n #not yet ,person(\"Fischer-Rasmussen\", \"Kasper\", role = \"ctb\", comment = \"Gower distance for CLARA\")\n )","BuildResaveData":"no","ByteCompile":"yes","Date":"2023-11-30","Date.Publication":"2023-12-01 22:10:03 UTC","Description":"Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) \"Finding Groups in Data\".","LazyData":"yes","LazyLoad":"yes","Maintainer":"Martin Maechler ","Packaged":"2023-11-30 17:52:28 UTC; maechler","Title":"\"Finding Groups in Data\": Cluster Analysis Extended Rousseeuw et al.","URL":"https://svn.r-project.org/R-packages/trunk/cluster/","Published":"2023-12-01","Reverse.depends":"abodOutlier, aCGH, AssocTests, bios2mds, BoutrosLab.plotting.general, briKmeans, ClassDiscovery, clustEff, clusterCons, clusterSim, ClusterStability, clv, clValid, cogena, CoImp, convevol, dbstats, divo, evaluomeR, GARS, gclus, GLDEX, Hiiragi2013, hopach, ICGE, IntNMF, isopam, maptree, massiR, mdqc, MineICA, MiSPU, MLInterfaces, MOCCA, NMF, nomclust, NU.Learning, optpart, Oscope, PAMhm, RnBeads, RPMM, saccadr, treeClust, TSclust, WeightedCluster","Reverse.imports":"ADaCGH2, adiv, ADPclust, adSplit, agricolae, amplican, anocva, Anthropometry, aPCoA, aqp, artMS, ASURAT, attract, autoBagging, AutoPipe, aweSOM, bayesGAM, BCClong, BCHM, beadplexr, BERT, BiBitR, binspp, biopixR, bioregion, bipl5, biplotbootGUI, bluster, bnem, bootcluster, boxplotcluster, brsim, C443, CAinterprTools, CancerSubtypes, Cascade, CDGHMM, classmap, clhs, clue, clusEvol, ClustAll, Cluster.OBeu, clusterExperiment, clusterHD, Clustering, clustrd, CLUSTShiny, cobiclust, coca, CoGAPS, cola, comato, Compositional, condvis2, CONFESS, conjoint, ConsensusClustering, ConsensusClusterPlus, CORElearn, CPC, CrossClustering, cstab, daltoolbox, DEGreport, DEP, DeSousa2013, DIscBIO, disclapmix, disclapmix2, discoveR, DisimForMixed, dPCP, drclust, dtwclust, EBarrays, ecan, ECoL, EcotoneFinder, etree, EvaluateCore, EvoPhylo, factoextra, FactoMineR, FADPclust, FairMclus, fdacluster, FieldSimR, flowStats, fpc, FPDclustering, funrar, FuseSOM, FuzzyQ, GeneNMF, GET, GIC, glmmfields, GridOnClusters, gromovlab, GrpString, GSgalgoR, GSSTDA, GWENA, HERON, HierPortfolios, hmer, Hmisc, HVT, iasva, iClusterVB, ICSClust, ILoReg, inpdfr, ipft, isomiRs, iSubGen, jackstraw, jrSiCKLSNMF, klic, KMEANS.KNN, labdsv, lakemorpho, lazytrade, leapgp, LinkHD, LKT, LocalControl, M3C, makePalette, maotai, mastif, MazamaLocationUtils, MBECS, MCbiclust, MEDseq, MEGENA, Mercator, metaCluster, MetaCyto, mFD, MGMM, MixGHD, MixtureMissing, mlr3cluster, MLVSBM, mnem, MODA, mogsa, MOMA, Momocs, monocle, monoClust, MorphoRegions, MOSS, MSclust, multibiplotGUI, multiClust, MultIS, musicatk, mutSignatures, netSmooth, nncc, norMmix, NSAE, OMICsPCA, oompaBase, openair, openSkies, opGMMassessment, pamr, Patterns, pavo, phyloseq, PINSPlus, pipeComp, PIUMA, pivmet, preciseTAD, predReliability, PReMiuM, projectR, PSF, psichomics, puls, PVplr, QuadratiK, RaceID, rainbow, RAINBOWR, randomcoloR, randomUniformForest, rassta, RclusTool, recluster, regioneReloaded, relations, rEMM, Repitools, RHPCBenchmark, ribosomeProfilingQC, rms, rmsb, rnmamod, robCompositions, RPANDA, rrcovNA, RSSL, sarks, sarp.snowprofile.alignment, SC3, scClassify, scDDboost, scDHA, scellpam, SCFA, schex, scISR, sClust, scMerge, SCnorm, scone, scPCA, sdcMicro, sejmRP, semiArtificial, SemiPar, semtree, SensoMineR, seqArchR, seqimpute, seriation, Seurat, sharpshootR, sigQC, SillyPutty, simplifyEnrichment, sincell, singleCellTK, skmeans, SLBDD, SNPfiltR, SNPhood, SparseFunClust, SPARTAAS, speaq, SpectralClMixed, SpectralTAD, spikeSlabGAM, StatDA, statGraph, stemmatology, stream, symbolicDA, TADCompare, TcGSA, TCseq, tidyvpc, TMixClust, TML, traj, TraMineR, TraMineRextras, treeheatr, TreeSearch, truh, TSdist, uHMM, ulrb, uSORT, VaSP, vegan, vegan3d, visxhclust, WCluster, WOAkMedoids, wordspace, WormTensor","Reverse.suggests":"adept, agriutilities, AnthropMMD, ARTool, BarcodingR, BiodiversityR, biomvRCNS, biplotEZ, broom, CGEN, CircularSilhouette, condvis, cordillera, cummeRbund, DAPAR, dendextend, diceR, e1071, earthtones, eclust, Evacluster, familiar, FCPS, fdm2id, flexclust, flextable, GenomicSuperSignature, ggdendro, ggfortify, ggtreeDendro, glottospace, goeveg, graph, grImport, HKRbook, ibawds, idendr0, InteractiveComplexHeatmap, ksharp, languageR, latrend, MachineShop, mdendro, miaSim, MineICA, mlr, mlr3viz, MoEClust, naspaclust, nexus, nor1mix, parallelpam, parameters, pdfCluster, ppclust, ppmSuite, PtH2O2lipids, pulsar, R2HTML, randomForestSRC, rattle, REdaS, restoptr, RGraphics, robustbase, robustfa, RRphylo, sageR, scBubbletree, scorepeak, SCpubr, seqhandbook, sfsmisc, sharp, shipunov, sigminer, Single.mTEC.Transcriptomes, sjPlot, sociome, spatialEco, standR, tclust, tensorsparse, tidyclust, TreeDist","Reverse.enhances":"MixSim","DOI":"10.32614/CRAN.package.cluster"} {"Package":"codetools","Version":"0.2-20","Priority":"recommended","Depends":"R (>= 2.1)","License":"GPL","MD5sum":"b6d2fb49c00a528b04f574892359aa55","NeedsCompilation":"no","Author":"Luke Tierney ","Date.Publication":"2024-03-31 20:10:06 UTC","Description":"Code analysis tools for R.","Maintainer":"Luke Tierney ","Packaged":"2024-03-31 18:18:09 UTC; luke","Title":"Code Analysis Tools for R","URL":"https://gitlab.com/luke-tierney/codetools","Published":"2024-03-31","Reverse.depends":"GeoModels, weaver","Reverse.imports":"ascii, binb, BiocCheck, BiocParallel, CodeDepends, ComplexHeatmap, depcache, fc, foreach, globals, lintr, manipulateWidget, markmyassignment, MonetDB.R, MonteCarlo, msqrob2, multcomp, NMF, packager, pkgmaker, PopED, pryr, Rcwl, rix, roxyglobals, simmer, sloop, svTools, targets","Reverse.suggests":"ASGS.foyer, BBmisc, beer, BigVAR, cmR, cricketdata, dotty, flexmix, gitcreds, graphite, GREENeR, incR, ivygapSE, knitr, mlr3, MOSim, peperr, pkgdepends, prettyunits, processx, R.methodsS3, remotes, rgrass, RSiena, SpaDES.core, weaver, WRS2, xfun","DOI":"10.32614/CRAN.package.codetools"} {"Package":"CompDist","Version":"1.0","Depends":"R (>= 3.3.0), numDeriv","Imports":"fExtremes, actuar, VGAM, rmutil, PearsonDS","License":"GPL (>= 2)","MD5sum":"25b1e8cd0deb74a3c6332dc0aa2272e8","NeedsCompilation":"no","Author":"Martin Wiegand and Saralees Nadarajah","Date":"2017-08-16","Date.Publication":"2017-08-17 11:38:03 UTC","Description":"Computes density function, cumulative distribution function, quantile function and random numbers for a multisection composite distribution specified by the user. Also fits the user specified distribution to a given data set. More details of the package can be found in the following paper submitted to the R journal Wiegand M and Nadarajah S (2017) CompDist: Multisection composite distributions.","Maintainer":"Saralees Nadarajah ","Packaged":"2017-08-17 11:25:55 UTC; mbbsssn2","Title":"Multisection Composite Distributions","Type":"Package","Published":"2017-08-17","DOI":"10.32614/CRAN.package.CompDist"} {"Package":"compHclust","Version":"1.0-3","Imports":"graphics, stats","License":"GPL (>= 2)","MD5sum":"24fcabb4da2e83a88515aa3cf12664e8","NeedsCompilation":"yes","Author":"Gen Nowak [aut, cre],\n Robert Tibshirani [aut]","Authors.R":"c(person(\"Gen\", \"Nowak\", role = c(\"aut\",\"cre\"), email = \"gen.nowak@gmail.com\"), person(\"Robert\", \"Tibshirani\", role = \"aut\"))","Date":"2017-05-04","Date.Publication":"2017-05-04 07:14:50 UTC","Description":"Performs the complementary hierarchical clustering procedure and returns X' (the expected residual matrix) and a vector of the relative gene importances.","Maintainer":"Gen Nowak ","Packaged":"2017-05-04 05:21:03 UTC; gennowak","Title":"Complementary Hierarchical Clustering","Published":"2017-05-04","Deadline":"2024-10-21","DOI":"10.32614/CRAN.package.compHclust"} {"Package":"CRANsearcher","Version":"1.0.0","Depends":"R (>= 3.3.0)","Imports":"dplyr, curl, shiny, shinyjs, miniUI, stringr, DT, lubridate,\nutils","License":"MIT + file LICENSE","MD5sum":"287cf65d3c5cc0161bf54de66a0f53de","NeedsCompilation":"no","Author":"Becca Krouse [aut],\n Agustin Calatroni [cre, aut]","Authors.R":"c(\n person(\"Becca\", \"Krouse\", email = \"rebecca_krouse@rhoworld.com\", role = c(\"aut\")),\n person(\"Agustin\", \"Calatroni\", email = \"agustin_calatroni@rhoworld.com\", role = c(\"cre\",\"aut\"))\n )","BugReports":"https://github.com/RhoInc/CRANsearcher/issues","Date.Publication":"2017-06-26 23:13:21 UTC","Description":"One of the strengths of R is its vast package ecosystem. Indeed, R packages extend from visualization to Bayesian inference and from spatial analyses to pharmacokinetics (). There is probably not an area of quantitative research that isn't represented by at least one R package. At the time of this writing, there are more than 10,000 active CRAN packages. Because of this massive ecosystem, it is important to have tools to search and learn about packages related to your personal R needs. For this reason, we developed an RStudio addin capable of searching available CRAN packages directly within RStudio.","Encoding":"UTF-8","LazyData":"true","Maintainer":"Agustin Calatroni ","Packaged":"2017-06-26 21:04:17 UTC; rzabel","Title":"RStudio Addin for Searching Packages in CRAN Database Based on Keywords","URL":"https://github.com/RhoInc/CRANsearcher","Published":"2017-06-26","DOI":"10.32614/CRAN.package.CRANsearcher"} {"Package":"CSTools","Version":"5.2.0","Depends":"R (>= 3.5.0), maps, qmap, easyVerification","Imports":"s2dv, startR, rainfarmr, multiApply (>= 2.1.1), ClimProjDiags,\nncdf4, plyr, abind, data.table, reshape2, ggplot2,\nRColorBrewer, graphics, grDevices, stats, utils, verification,\nlubridate, scales, easyNCDF","Suggests":"zeallot, testthat, knitr, markdown, rmarkdown","License":"GPL-3","MD5sum":"262e73415a1971dd4b4d7a5b2ef894e9","NeedsCompilation":"yes","Author":"Nuria Perez-Zanon [aut] (),\n Louis-Philippe Caron [aut] (),\n Carmen Alvarez-Castro [aut] (),\n Lauriane Batte [aut],\n Carlos Delgado [aut],\n Jost von Hardenberg [aut] (),\n Llorenc LLedo [aut],\n Nicolau Manubens [aut],\n Lluis Palma [aut],\n Eroteida Sanchez-Garcia [aut],\n Bert van Schaeybroeck [aut],\n Veronica Torralba [aut],\n Deborah Verfaillie [aut],\n Eva Rifa [ctb],\n Filippo Cali Quaglia [ctb],\n Maria M. Chaves-Montero [ctb],\n Chihchung Chou [ctb],\n Nicola Cortesi [ctb],\n Susanna Corti [ctb],\n Paolo Davini [ctb],\n Gildas Dayon [ctb],\n Marta Dominguez [ctb],\n Federico Fabiano [ctb],\n Ignazio Giuntoli [ctb],\n Raul Marcos [ctb],\n Paola Marson [ctb],\n Niti Mishra [ctb],\n Jesus Pena [ctb],\n Francesc Roura-Adserias [ctb],\n Silvia Terzago [ctb],\n Danila Volpi [ctb],\n An-Chi Ho [ctb],\n Victoria Agudetse [cre],\n BSC-CNS [cph]","Authors.R":"c(\n person(\"Nuria\", \"Perez-Zanon\", , \"nuria.perez@bsc.es\", role = \"aut\", comment = c(ORCID = \"0000-0001-8568-3071\")),\n person(\"Louis-Philippe\", \"Caron\", , \"louis-philippe.caron@bsc.es\", role = \"aut\", comment = c(ORCID = \"0000-0001-5221-0147\")),\n person(\"Carmen\", \"Alvarez-Castro\", , \"carmen.alvarez-castro@cmcc.it\", role = \"aut\", comment = c(ORCID = \"0000-0002-9958-010X\")),\n person(\"Lauriane\", \"Batte\", , \"lauriane.batte@meteo.fr\", role = \"aut\"),\n person(\"Carlos\", \"Delgado\", , \"carlos.delgado@bsc.es\", role = \"aut\"),\n person(\"Jost\", \"von Hardenberg\", , email = c(\"j.vonhardenberg@isac.cnr.it\", \"jost.hardenberg@polito.it\"), role = \"aut\", comment = c(ORCID = \"0000-0002-5312-8070\")),\n person(\"Llorenc\", \"LLedo\", , \"llledo@bsc.es\", role = \"aut\"), \n person(\"Nicolau\", \"Manubens\", , \"nicolau.manubens@bsc.es\", role = \"aut\"),\n person(\"Lluis\", \"Palma\", , \"lluis.palma@bsc.es\", role = \"aut\"),\n person(\"Eroteida\", \"Sanchez-Garcia\", , \"esanchezg@aemet.es\", role = \"aut\"),\n person(\"Bert\", \"van Schaeybroeck\", , \"bertvs@meteo.be\", role = \"aut\"),\n person(\"Veronica\", \"Torralba\", , \"veronica.torralba@bsc.es\", role = \"aut\"),\n person(\"Deborah\", \"Verfaillie\", , \"deborah.verfaillie@bsc.es\", role = \"aut\"),\n person(\"Eva\", \"Rifa\", , \"eva.rifarovira@bsc.es\", role = c(\"ctb\")),\n person(\"Filippo\", \"Cali Quaglia\", , \"filippo.caliquaglia@gmail.com\", role = \"ctb\"),\n person(\"Maria M.\", \"Chaves-Montero\", , \"mariadm.chaves@cmcc.it\", role = \"ctb\"),\n person(\"Chihchung\", \"Chou\", , \"chihchung.chou@bsc.es\", role = \"ctb\"),\n person(\"Nicola\", \"Cortesi\", , \"nicola.cortesi@bsc.es\", role = \"ctb\"),\n person(\"Susanna\", \"Corti\", , \"s.corti@isac.cnr.it\", role = \"ctb\"),\n person(\"Paolo\", \"Davini\", , \"p.davini@isac.cnr.it\", role = \"ctb\"),\n person(\"Gildas\", \"Dayon\", , \"gildas.dayon@meteo.fr\", role = \"ctb\"),\n person(\"Marta\", \"Dominguez\", , \"mdomingueza@aemet.es\", role = \"ctb\"),\n person(\"Federico\", \"Fabiano\", , \"f.fabiano@isac.cnr.it\", role = \"ctb\"),\n person(\"Ignazio\", \"Giuntoli\", , \"i.giuntoli@isac.cnr.it\", role = \"ctb\"),\n person(\"Raul\", \"Marcos\", , \"raul.marcos@bsc.es\", role = \"ctb\"),\n person(\"Paola\", \"Marson\", , \"paola.marson@meteo.fr\", role = \"ctb\"),\n person(\"Niti\", \"Mishra\", , \"niti.mishra@bsc.es\", role = \"ctb\"),\n person(\"Jesus\", \"Pena\", , \"jesus.pena@bsc.es\", role = \"ctb\"),\n person(\"Francesc\", \"Roura-Adserias\", , \"francesc.roura@bsc.es\", role = \"ctb\"),\n person(\"Silvia\", \"Terzago\", , \"s.terzago@isac.cnr.it\", role = \"ctb\"),\n person(\"Danila\", \"Volpi\", , \"d.volpi@isac.cnr.it\", role = \"ctb\"),\n person(\"An-Chi\", \"Ho\", , \"an.ho@bsc.es\", role = \"ctb\"),\n person(\"Victoria\", \"Agudetse\", , \"victoria.agudetse@bsc.es\", role = \"cre\"),\n person(\"BSC-CNS\", role = c(\"cph\")))","Date.Publication":"2024-01-25 16:40:02 UTC","Description":"Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the 'ERA4CS' project 'MEDSCOPE' and the 'H2020 S2S4E' project and includes contributions from 'ArticXchange' project founded by 'EU-PolarNet 2'. 'Perez-Zanon et al. (2022) '. 'Doblas-Reyes et al. (2005) '. 'Mishra et al. (2018) '. 'Sanchez-Garcia et al. (2019) '. 'Straus et al. (2007) '. 'Terzago et al. (2018) '. 'Torralba et al. (2017) '. 'D'Onofrio et al. (2014) '. 'Verfaillie et al. (2017) '. 'Van Schaeybroeck et al. (2019) '. 'Yiou et al. (2013) '.","Encoding":"UTF-8","LazyData":"true","Maintainer":"Victoria Agudetse ","Packaged":"2024-01-25 15:15:30 UTC; vagudets","Title":"Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales","VignetteBuilder":"knitr","Published":"2024-01-25","Reverse.imports":"CSIndicators","DOI":"10.32614/CRAN.package.CSTools"} {"Package":"deepnet","Version":"0.2.1","License":"GPL","MD5sum":"90b4237b2c26263d21fd617f3ed73ed1","NeedsCompilation":"no","Author":"Xiao Rong","Date":"2014-03-20","Date.Publication":"2022-06-24 12:29:27 UTC","Description":"Implement some deep learning architectures and neural network algorithms, including BP,RBM,DBN,Deep autoencoder and so on.","Maintainer":"Xiao Rong ","Packaged":"2022-06-24 12:10:21 UTC; hornik","Title":"Deep Learning Toolkit in R","Type":"Package","Published":"2022-06-24","Reverse.imports":"kgschart","Reverse.suggests":"mlr, qeML","DOI":"10.32614/CRAN.package.deepnet"} {"Package":"Delaporte","Version":"8.4.1","Depends":"R (>= 3.6.0)","Imports":"stats, parallel","Suggests":"covr, tinytest","License":"BSD_2_clause + file LICENSE","MD5sum":"8b7ca82f4548b178c2e991e5ee224141","NeedsCompilation":"yes","Author":"Avraham Adler [aut, cph, cre] ()","Authors.R":"c(person(given=\"Avraham\", family=\"Adler\", role=c(\"aut\", \"cph\", \"cre\"),\n email=\"Avraham.Adler@gmail.com\", comment = c(ORCID = \"0000-0002-3039-0703\")))","BugReports":"https://github.com/aadler/Delaporte/issues","ByteCompile":"yes","Date":"2024-06-17","Date.Publication":"2024-06-17 16:30:02 UTC","Description":"Provides probability mass, distribution, quantile, random-variate generation, and method-of-moments parameter-estimation functions for the Delaporte distribution with parameterization based on Vose (2008) . The Delaporte is a discrete probability distribution which can be considered the convolution of a negative binomial distribution with a Poisson distribution. Alternatively, it can be considered a counting distribution with both Poisson and negative binomial components. It has been studied in actuarial science as a frequency distribution which has more variability than the Poisson, but less than the negative binomial.","Maintainer":"Avraham Adler ","Packaged":"2024-06-17 15:48:08 UTC; Parents","SystemRequirements":"A version of Fortran supporting the LOG_GAMMA\nIntrinsic and the ieee_arithmetic module.","Title":"Statistical Functions for the Delaporte Distribution","Type":"Package","URL":"https://github.com/aadler/Delaporte","UseLTO":"yes","Published":"2024-06-17","Reverse.imports":"Chicago, modelSSE","DOI":"10.32614/CRAN.package.Delaporte"} {"Package":"earlyR","Version":"0.0.5","Depends":"R (>= 3.3.0)","Imports":"stats, distcrete, EpiEstim, epitrix, ggplot2","Suggests":"testthat, vdiffr, roxygen2, incidence, knitr, rmarkdown,\nprojections, covr","License":"MIT + file LICENSE","MD5sum":"610768a5337eb09e7570a73e75d7ce86","NeedsCompilation":"no","Author":"Thibaut Jombart [aut, cre],\n Anne Cori [aut],\n Pierre Nouvellet [aut],\n Janetta Skarp [aut],\n Zhian N. Kamvar [ctb],\n Tim Taylor [ctb] ()","Authors.R":"c(person(\"Thibaut\", \"Jombart\", email = \"thibautjombart@gmail.com\", role = c(\"aut\", \"cre\")),\n person(\"Anne\", \"Cori\", email = \"a.cori@imperial.ac.uk\", role = c(\"aut\")),\n person(\"Pierre\", \"Nouvellet\", email = \"p.nouvellet@imperial.ac.uk\", role = c(\"aut\")),\n person(\"Janetta\", \"Skarp\", email = \"janetta.skarp13@imperial.ac.uk\", role = c(\"aut\")),\n person(\"Zhian N.\", \"Kamvar\", email = \"zkamvar@gmail.com\", role = c(\"ctb\")),\n person(\"Tim\", \"Taylor\", email = \"tim.taylor@hiddenelephants.co.uk\", role = c(\"ctb\"),\n comment = c(ORCID = \"0000-0002-8587-7113\"))\n )","BugReports":"https://github.com/reconhub/earlyR/issues","Date.Publication":"2020-10-27 08:50:02 UTC","Description":"Implements a simple, likelihood-based estimation of the reproduction number (R0) using a branching process with a Poisson likelihood. This model requires knowledge of the serial interval distribution, and dates of symptom onsets. Infectiousness is determined by weighting R0 by the probability mass function of the serial interval on the corresponding day. It is a simplified version of the model introduced by Cori et al. (2013) .","Encoding":"UTF-8","LazyData":"true","Maintainer":"Thibaut Jombart ","Packaged":"2020-10-27 06:54:51 UTC; master","Title":"Estimation of Transmissibility in the Early Stages of a Disease Outbreak","URL":"https://www.repidemicsconsortium.org/earlyR/","VignetteBuilder":"knitr","Published":"2020-10-27","DOI":"10.32614/CRAN.package.earlyR"} {"Package":"EpiEstim","Version":"2.2-4","Depends":"R (>= 2.10)","Imports":"coarseDataTools (>= 0.6-4), stats, graphics, reshape2,\nggplot2, gridExtra, fitdistrplus, coda, incidence (>= 1.7.0),\nscales, grDevices","Suggests":"testthat, utils, vdiffr, covr, knitr, rmarkdown","License":"GPL (>= 2)","MD5sum":"faea8fc1f42b8601a024788ea517e843","NeedsCompilation":"no","Author":"Anne Cori [aut, cre] (),\n Simon Cauchemez [ctb],\n Neil M. Ferguson [ctb] (),\n Christophe Fraser [ctb] (),\n Elisabeth Dahlqwist [ctb] (),\n P. Alex Demarsh [ctb],\n Thibaut Jombart [ctb] (),\n Zhian N. Kamvar [ctb] (),\n Justin Lessler [ctb] (),\n Shikun Li [ctb],\n Jonathan A. Polonsky [ctb] (),\n Jake Stockwin [ctb],\n Robin Thompson [ctb] (),\n Rolina van Gaalen [ctb]","Authors.R":"c(person(\"Anne\", \"Cori\", email = \"a.cori@imperial.ac.uk\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-8443-9162\")), \n person(\"Simon\", \"Cauchemez\", role = \"ctb\"),\n person(\"Neil M.\", \"Ferguson\", role = \"ctb\", comment = c(ORCID = \"0000-0002-1154-8093\")),\n person(\"Christophe\", \"Fraser\", role = \"ctb\", comment = c(ORCID = \"0000-0003-2399-9657\")),\n person(\"Elisabeth\", \"Dahlqwist\", role = \"ctb\", comment = c(ORCID = \"0000-0001-5797-6803\")),\n person(\"P. Alex\", \"Demarsh\", role = \"ctb\"),\n person(\"Thibaut\", \"Jombart\", role = \"ctb\", comment = c(ORCID = \"0000-0003-2226-8692\")),\n person(\"Zhian N.\", \"Kamvar\", role = \"ctb\", comment = c(ORCID = \"0000-0003-1458-7108\")),\n person(\"Justin\", \"Lessler\", role = \"ctb\", comment = c(ORCID = \"0000-0002-9741-8109\")),\n person(\"Shikun\", \"Li\", role = \"ctb\"),\n person(\"Jonathan A.\", \"Polonsky\", role = \"ctb\", comment = c(ORCID = \"0000-0002-8634-4255\")),\n person(\"Jake\", \"Stockwin\", role = \"ctb\"),\n person(\"Robin\", \"Thompson\", role = \"ctb\", comment = c(ORCID = \"0000-0001-8545-5212\")),\n person(\"Rolina\", \"van Gaalen\", role = \"ctb\")\n )","BugReports":"https://github.com/mrc-ide/EpiEstim/issues","Date.Publication":"2021-01-07 16:20:10 UTC","Description":"Tools to quantify transmissibility throughout an epidemic from the analysis of time series of incidence as described in Cori et al. (2013) and Wallinga and Teunis (2004) .","Encoding":"UTF-8","LazyLoad":"yes","Maintainer":"Anne Cori ","Packaged":"2021-01-04 13:08:11 UTC; acori","Title":"Estimate Time Varying Reproduction Numbers from Epidemic Curves","URL":"https://github.com/mrc-ide/EpiEstim","VignetteBuilder":"knitr","Published":"2021-01-07","Reverse.imports":"covid19india, earlyR, EpiLPS, ern","Reverse.suggests":"covidmx, projections","DOI":"10.32614/CRAN.package.EpiEstim"} {"Package":"episensr","Version":"1.3.0","Depends":"R (>= 4.0.0), ggplot2 (>= 3.4.0)","Imports":"triangle, trapezoid, actuar, dagitty, ggdag, boot, magrittr","Suggests":"testthat, knitr, rmarkdown, aplore3, directlabels, tidyr,\nlattice, covr","License":"GPL-2","MD5sum":"bb57c00e94199184527de9e738b9a022","NeedsCompilation":"no","Author":"Denis Haine [aut, cre] ()","Authors.R":"\n person(given = \"Denis\",\n family = \"Haine\",\n role = c(\"aut\", \"cre\"),\n email = \"denis.haine@gmail.com\",\n comment = c(ORCID = \"0000-0002-6691-7335\"))","BugReports":"https://github.com/dhaine/episensr/issues","Date":"2023-08-29","Date.Publication":"2023-08-30 09:20:05 UTC","Description":"Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Lash T.L, Fox M.P, and Fink A.K. \"Applying Quantitative Bias Analysis to Epidemiologic Data\", ('Springer', 2021).","Encoding":"UTF-8","Maintainer":"Denis Haine ","Packaged":"2023-08-29 21:12:00 UTC; denis","Title":"Basic Sensitivity Analysis of Epidemiological Results","Type":"Package","URL":"https://github.com/dhaine/episensr,\nhttps://dhaine.github.io/episensr/","VignetteBuilder":"knitr","Published":"2023-08-30","Reverse.depends":"apisensr","DOI":"10.32614/CRAN.package.episensr"} {"Package":"FatTailsR","Version":"1.8-5","Depends":"R (>= 3.1.0)","Imports":"minpack.lm, timeSeries, parallel, methods, stats","Suggests":"zoo, xts","License":"GPL-2","MD5sum":"827470bc6e9c6a89d2ce9e6f14f38c6e","NeedsCompilation":"no","Author":"Patrice Kiener [aut, cre] ()","Authors.R":"c(\n person(\"Patrice\", \"Kiener\", role = c(\"aut\", \"cre\"), \n email = \"fattailsr@inmodelia.com\", \n comment = c(ORCID = \"0000-0002-0505-9920\"))\n ) ","Collate":"'FatTailsR-package.R' 'a_data.R' 'b_fatreturns.R'\n'c_trigohp.R' 'd_logishp.R' 'e_conversion.R' 'f_kiener1.R'\n'g_kiener2.R' 'h_kiener3.R' 'i_kiener4.R' 'j_kiener7.R'\n'k_kienerES.R' 'l_moments.R' 'm_laplaceroll.R' 'n_estimation.R'\n'o_estimation2.R' 'p_regression.R'","Date":"2024-03-03","Date.Publication":"2024-03-03 15:22:44 UTC","Description":"Kiener distributions K1, K2, K3, K4 and K7 to characterize distributions with left and right, symmetric or asymmetric fat tails in market finance, neuroscience and other disciplines. Two algorithms to estimate with a high accuracy distribution parameters, quantiles, value-at-risk and expected shortfall. Include power hyperbolas and power hyperbolic functions. ","Encoding":"UTF-8","LazyData":"true","Maintainer":"Patrice Kiener ","Packaged":"2024-03-03 14:40:48 UTC; Patrice","Title":"Kiener Distributions and Fat Tails in Finance","URL":"https://www.inmodelia.com/fattailsr-en.html","Published":"2024-03-03","Reverse.suggests":"fitteR","DOI":"10.32614/CRAN.package.FatTailsR"} {"Package":"FBFsearch","Version":"1.2","Imports":"Rcpp (>= 0.12.7)","LinkingTo":"Rcpp, RcppArmadillo","License":"GPL (>= 2)","MD5sum":"ef6a65f8bd10bf682e3fb0c8db192541","NeedsCompilation":"yes","Author":"Davide Altomare, Guido Consonni and Luca La Rocca","Date":"2022-08-08","Date.Publication":"2022-08-08 13:40:37 UTC","Description":"We propose an objective Bayesian algorithm for searching the space of Gaussian directed acyclic graph (DAG) models. The algorithm proposed makes use of moment fractional Bayes factors (MFBF) and thus it is suitable for learning sparse graph. The algorithm is implemented by using Armadillo: an open-source C++ linear algebra library. ","Maintainer":"Davide Altomare ","Packaged":"2022-08-08 06:51:30 UTC; davide","Title":"Algorithm for Searching the Space of Gaussian Directed Acyclic Graph Models Through Moment Fractional Bayes Factors","Type":"Package","Published":"2022-08-08","DOI":"10.32614/CRAN.package.FBFsearch"} {"Package":"findR","Version":"0.2.1","Imports":"pdftools, stringr","License":"GPL-3","MD5sum":"4db624ae695bbfa0ddb3efd6577945eb","NeedsCompilation":"no","Author":"David Zumbach [aut, cre]","Authors.R":"person(\"David\", \"Zumbach\", role = c(\"aut\", \"cre\"), email = \"david.zumbach@gfzb.ch\")","BugReports":"https://github.com/zumbov2/findR/issues","Date.Publication":"2018-03-13 10:48:45 UTC","Description":"Scans all directories and subdirectories of a path for code snippets, R scripts, R Markdown, PDF or text files containing a specific pattern. Files found can be copied to a new folder.","Encoding":"UTF-8","LazyData":"true","Maintainer":"David Zumbach ","Packaged":"2018-03-13 10:26:06 UTC; David Zumbach","Title":"Find Code Snippets, R Scripts, R Markdown, PDF and Text Files with Pattern Matching","Type":"Package","Published":"2018-03-13","Reverse.imports":"vvauditor","Reverse.suggests":"RWsearch","DOI":"10.32614/CRAN.package.findR"} {"Package":"fitdistrplus","Version":"1.2-1","Depends":"R (>= 3.5.0), MASS, grDevices, survival, methods","Imports":"stats, rlang","Suggests":"actuar, rgenoud, mc2d, gamlss.dist, knitr, ggplot2,\nGeneralizedHyperbolic, rmarkdown, Hmisc, bookdown","License":"GPL (>= 2)","MD5sum":"ba1e12e70657f04a902043324d9953d2","NeedsCompilation":"no","Author":"Marie-Laure Delignette-Muller [aut]\n (),\n Christophe Dutang [aut] (),\n Regis Pouillot [ctb],\n Jean-Baptiste Denis [ctb],\n Aurelie Siberchicot [aut, cre]\n ()","Authors.R":"c(person(\"Marie-Laure\", \"Delignette-Muller\", role = \"aut\", email = \"marielaure.delignettemuller@vetagro-sup.fr\", comment = c(ORCID = \"0000-0001-5453-3994\")),\n person(\"Christophe\", \"Dutang\", role = \"aut\", email = \"christophe.dutang@ensimag.fr\", comment = c(ORCID = \"0000-0001-6732-1501\")),\n person(\"Regis\", \"Pouillot\", role = \"ctb\"),\n person(\"Jean-Baptiste\", \"Denis\", role = \"ctb\"),\n person(\"Aurelie\", \"Siberchicot\", role = c(\"aut\", \"cre\"), email = \"aurelie.siberchicot@univ-lyon1.fr\", comment = c(ORCID = \"0000-0002-7638-8318\")))","BugReports":"https://github.com/lbbe-software/fitdistrplus/issues","BuildVignettes":"true","Contact":"Marie-Laure Delignette-Muller\n or Christophe\nDutang ","Date.Publication":"2024-07-12 12:20:02 UTC","Description":"Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME), maximum goodness-of-fit estimation (MGE) and maximum spacing estimation (MSE) methods (available only for non-censored data). Weighted versions of MLE, MME, QME and MSE are available. See e.g. Casella & Berger (2002), Statistical inference, Pacific Grove, for a general introduction to parametric estimation.","Encoding":"UTF-8","Maintainer":"Aurelie Siberchicot ","Packaged":"2024-07-11 12:47:51 UTC; siberchicot","Title":"Help to Fit of a Parametric Distribution to Non-Censored or Censored Data","URL":"https://lbbe-software.github.io/fitdistrplus/,\nhttps://lbbe.univ-lyon1.fr/fr/fitdistrplus,\nhttps://github.com/lbbe-software/fitdistrplus","VignetteBuilder":"knitr","Published":"2024-07-12","Reverse.depends":"BMT, enveomics.R, goft, mbbefd, OneStep, qmap, SCI, stratifyR, vsgoftest","Reverse.imports":"amt, AnnuityRIR, bayNorm, baytrends, CalibratR, cascsim, CBEA, censcyt, COCOA, conf, criticality, dfmirroR, Dpit, EasyDescribe, EnviroPRA2, EpiEstim, evtclass, ExGaussEstim, fasstr, FitUltD, fitur, FMAdist, GofCens, GrabSVG, ICcalib, infercnv, insurancerating, karyotapR, Kernelheaping, kindisperse, multistateQTL, multivarious, myTAI, NADA2, NetSimR, OmicsQC, parmsurvfit, phenesse, PhitestR, PredictionR, quickcode, RFlocalfdr, scBSP, SCRIP, SEI, SeqNet, Seurat, simPIC, simPop, splatter, SPsimSeq, ssd4mosaic, StockDistFit, traitstrap, TreeDimensionTest, WASP","Reverse.suggests":"AICcmodavg, Corbi, Ecfun, EGAnet, em, eventTrack, fmx, ggh4x, MARVEL, mc2d, mle.tools, paleobuddy, pcutils, raw, reservr, simdata, ssdtools, Surrogate, TukeyGH77, zalpha","Reverse.enhances":"RobExtremes","DOI":"10.32614/CRAN.package.fitdistrplus"} {"Package":"fitur","Version":"0.6.2","Depends":"R (>= 3.3.0)","Imports":"stats, fitdistrplus, actuar, e1071, ggplot2, goftest, shiny\n(>= 0.13), miniUI (>= 0.1.1), rstudioapi (>= 0.5), DT","Suggests":"knitr, rmarkdown","License":"MIT + file LICENSE","MD5sum":"36265e308103367efbb59b0ff0df0636","NeedsCompilation":"no","Author":"Thomas Roh [aut, cre]","Authors.R":"person(\"Thomas\", \"Roh\", email = \"thomas@roh.engineering\", role = c(\"aut\", \"cre\"))","BugReports":"https://github.com/tomroh/fitur/issues","Date.Publication":"2021-10-06 16:30:02 UTC","Description":"Wrapper for computing parameters for univariate distributions using MLE. It creates an object that stores d, p, q, r functions as well as parameters and statistics for diagnostics. Currently supports automated fitting from base and actuar packages. A manually fitting distribution fitting function is included to support directly specifying parameters for any distribution from ancillary packages.","Encoding":"UTF-8","Maintainer":"Thomas Roh ","Packaged":"2021-10-06 16:07:23 UTC; troh","Title":"Fit Univariate Distributions","URL":"https://github.com/tomroh/fitur","VignetteBuilder":"knitr","Published":"2021-10-06","DOI":"10.32614/CRAN.package.fitur"} {"Package":"foreign","Version":"0.8-87","Priority":"recommended","Depends":"R (>= 4.0.0)","Imports":"methods, utils, stats","License":"GPL (>= 2)","MD5sum":"d63407d5bb76e4d9bfb3fa35745581bc","NeedsCompilation":"yes","Author":"R Core Team [aut, cph, cre],\n Roger Bivand [ctb, cph],\n Vincent J. Carey [ctb, cph],\n Saikat DebRoy [ctb, cph],\n Stephen Eglen [ctb, cph],\n Rajarshi Guha [ctb, cph],\n Swetlana Herbrandt [ctb],\n Nicholas Lewin-Koh [ctb, cph],\n Mark Myatt [ctb, cph],\n Michael Nelson [ctb],\n Ben Pfaff [ctb],\n Brian Quistorff [ctb],\n Frank Warmerdam [ctb, cph],\n Stephen Weigand [ctb, cph],\n Free Software Foundation, Inc. [cph]","Authors.R":"c(\n person(\"R Core Team\",\n email = \"R-core@R-project.org\", role = c(\"aut\", \"cph\", \"cre\")),\n person(\"Roger\", \"Bivand\", role = c(\"ctb\", \"cph\")),\n person(c(\"Vincent\", \"J.\"), \"Carey\", role = c(\"ctb\", \"cph\")),\n person(\"Saikat\", \"DebRoy\", role = c(\"ctb\", \"cph\")),\n person(\"Stephen\", \"Eglen\", role = c(\"ctb\", \"cph\")),\n person(\"Rajarshi\", \"Guha\", role = c(\"ctb\", \"cph\")),\n person(\"Swetlana\", \"Herbrandt\", role = \"ctb\"),\n person(\"Nicholas\", \"Lewin-Koh\", role = c(\"ctb\", \"cph\")),\n person(\"Mark\", \"Myatt\", role = c(\"ctb\", \"cph\")),\n person(\"Michael\", \"Nelson\", role = \"ctb\"),\n person(\"Ben\", \"Pfaff\", role = \"ctb\"),\n person(\"Brian\", \"Quistorff\", role = \"ctb\"),\n person(\"Frank\", \"Warmerdam\", role = c(\"ctb\", \"cph\")),\n person(\"Stephen\", \"Weigand\", role = c(\"ctb\", \"cph\")),\n person(\"Free Software Foundation, Inc.\", role = \"cph\"))","Biarch":"yes","BugReports":"https://bugs.r-project.org","ByteCompile":"yes","Contact":"see 'MailingList'","Copyright":"see file COPYRIGHTS","Date":"2024-06-25","Date.Publication":"2024-06-26 08:50:02 UTC","Description":"Reading and writing data stored by some versions of 'Epi Info', 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', and for reading and writing some 'dBase' files.","MailingList":"R-help@r-project.org","Maintainer":"R Core Team ","Packaged":"2024-06-25 17:06:12 UTC; hornik","Title":"Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...","URL":"https://svn.r-project.org/R-packages/trunk/foreign/","Published":"2024-06-26","Reverse.depends":"BayesTwin, CTTinShiny, diverse, easyPSID, epiDisplay, pkr, rsubgroup, separationplot, shapefiles, vegdata","Reverse.imports":"Amelia, aweSOM, basifoR, BETS, BiBitR, conmet, Deducer, DescToolsAddIns, dynRB, easyr, EffectLiteR, fetch, forestdata, fSRM, gesisdata, GLMpack, graph4lg, Hmisc, importinegi, intsvy, kutils, LOGAN, nhanesA, nhdR, normfluodbf, pewdata, prevR, psychTools, r.blip, R2MLwiN, RALSA, RcmdrMisc, rdhs, rio, RNHANES, ropercenter, Rsagacmd, rsatscan, RSP, RStata, SDEFSR, SemNetCleaner, Sofi, SPARTAAS, superb, synthpop, taxlist, umx, vegtable, versioning, weatherOz","Reverse.suggests":"abstr, AER, bruceR, causaldrf, cNORM, datana, datazoom.amazonia, desk, dynBiplotGUI, epiCleanr, epiR, essurvey, exactextractr, expss, frequency, gap, getmstatistic, htetree, ImportExport, jmvReadWrite, JointAI, libr, memapp, metamicrobiomeR, mi, miceadds, miceafter, migui, mitools, multcomp, NipponMap, oce, osum, papeR, PBSmapping, prabclus, PracTools, ProjectTemplate, psfmi, rattle, Rcmdr, RcmdrPlugin.EZR, rddapp, REdaS, rfordummies, RGIFT, rsconnect, SemNeT, semTools, simsem, spacetime, spatialreg, spData, spdep, SSVS, survey, svydiags, VirtualPop, vocaldia, volleystat","DOI":"10.32614/CRAN.package.foreign"} {"Package":"h2o","Version":"3.44.0.3","Depends":"R (>= 2.13.0), methods, stats","Imports":"graphics, tools, utils, RCurl, jsonlite","Suggests":"ggplot2 (>= 3.3.0), mlbench, Matrix, slam, bit64 (>= 0.9.7),\ndata.table (>= 1.9.8), rgl (>= 0.100.19), plot3Drgl (>= 1.0.1),\nsurvival, DT, IRdisplay, htmltools, plotly, repr, curl, scales","License":"Apache License (== 2.0)","MD5sum":"e84fa7b9a3bcc54b1831c26abb41b4f2","NeedsCompilation":"no","Author":"Tomas Fryda [aut, cre],\n Erin LeDell [aut],\n Navdeep Gill [aut],\n Spencer Aiello [aut],\n Anqi Fu [aut],\n Arno Candel [aut],\n Cliff Click [aut],\n Tom Kraljevic [aut],\n Tomas Nykodym [aut],\n Patrick Aboyoun [aut],\n Michal Kurka [aut],\n Michal Malohlava [aut],\n Sebastien Poirier [aut],\n Wendy Wong [aut],\n Ludi Rehak [ctb],\n Eric Eckstrand [ctb],\n Brandon Hill [ctb],\n Sebastian Vidrio [ctb],\n Surekha Jadhawani [ctb],\n Amy Wang [ctb],\n Raymond Peck [ctb],\n Jan Gorecki [ctb],\n Matt Dowle [ctb],\n Yuan Tang [ctb],\n Lauren DiPerna [ctb],\n Veronika Maurerova [ctb],\n Yuliia Syzon [ctb],\n Adam Valenta [ctb],\n Marek Novotny [ctb],\n H2O.ai [cph, fnd]","Authors.R":"c(\n person(\"Tomas\", \"Fryda\", role = c(\"aut\", \"cre\"), email = \"tomas.fryda@h2o.ai\"),\n person(\"Erin\", \"LeDell\", role = c(\"aut\")),\n person(\"Navdeep\", \"Gill\", role = c(\"aut\")),\n person(\"Spencer\", \"Aiello\", role = c(\"aut\")),\n person(\"Anqi\", \"Fu\", role = c(\"aut\")),\n person(\"Arno\", \"Candel\", role = c(\"aut\")),\n person(\"Cliff\", \"Click\", role = c(\"aut\")),\n person(\"Tom\", \"Kraljevic\", role = c(\"aut\")),\n person(\"Tomas\", \"Nykodym\", role = c(\"aut\")),\n person(\"Patrick\", \"Aboyoun\", role = c(\"aut\")),\n person(\"Michal\", \"Kurka\", role = c(\"aut\")),\n person(\"Michal\", \"Malohlava\", role = c(\"aut\")),\n person(\"Sebastien\", \"Poirier\", role=c(\"aut\")),\n person(\"Wendy\", \"Wong\", role = c(\"aut\")),\n person(\"Ludi\", \"Rehak\", role = c(\"ctb\")),\n person(\"Eric\", \"Eckstrand\", role = c(\"ctb\")),\n person(\"Brandon\", \"Hill\", role = c(\"ctb\")),\n person(\"Sebastian\", \"Vidrio\", role = c(\"ctb\")),\n person(\"Surekha\", \"Jadhawani\", role = c(\"ctb\")),\n person(\"Amy\", \"Wang\", role = c(\"ctb\")),\n person(\"Raymond\", \"Peck\", role = c(\"ctb\")),\n person(\"Jan\", \"Gorecki\", role = c(\"ctb\")),\n person(\"Matt\", \"Dowle\", role = c(\"ctb\")),\n person(\"Yuan\", \"Tang\", role = c(\"ctb\")),\n person(\"Lauren\", \"DiPerna\", role = c(\"ctb\")),\n person(\"Veronika\", \"Maurerova\", role=c(\"ctb\")),\n person(\"Yuliia\", \"Syzon\", role=c(\"ctb\")),\n person(\"Adam\", \"Valenta\", role=c(\"ctb\")),\n person(\"Marek\", \"Novotny\", role=c(\"ctb\")),\n person(\"H2O.ai\", role = c(\"cph\", \"fnd\"))\n )","BugReports":"https://github.com/h2oai/h2o-3/issues","Collate":"'adaboost.R' 'admissibleml.R' 'aggregator.R' 'anovaglm.R'\n'astfun.R' 'automl.R' 'classes.R' 'communication.R' 'config.R'\n'connection.R' 'constants.R' 'coxph.R' 'coxphutils.R'\n'datasets.R' 'decisiontree.R' 'deeplearning.R' 'edicts.R'\n'explain.R' 'export.R' 'extendedisolationforest.R' 'frame.R'\n'gam.R' 'gbm.R' 'generic.R' 'glm.R' 'glrm.R' 'grid.R'\n'import.R' 'infogram.R' 'isolationforest.R'\n'isotonicregression.R' 'kmeans.R' 'kvstore.R' 'locate.R'\n'logging.R' 'models.R' 'modelselection.R' 'naivebayes.R'\n'parse.R' 'pca.R' 'permutation_varimp.R' 'predict.R' 'psvm.R'\n'randomforest.R' 'rulefit.R' 'segment.R' 'stackedensemble.R'\n'svd.R' 'targetencoder.R' 'tf-idf.R' 'upliftrandomforest.R'\n'w2vutils.R' 'word2vec.R' 'xgboost.R' 'zzz.R'","Date":"2023-12-20","Date.Publication":"2024-01-11 11:30:03 UTC","Description":"R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).","Maintainer":"Tomas Fryda ","Packaged":"2024-01-10 12:15:19 UTC; tomasfryda","SystemRequirements":"Java (>= 8, <= 17)","Title":"R Interface for the 'H2O' Scalable Machine Learning Platform","Type":"Package","URL":"https://github.com/h2oai/h2o-3","Published":"2024-01-11","Reverse.imports":"agua, autoEnsemble, h2otools, healthyR.ai, lazytrade, lilikoi, mlim, rsparkling, shapley, shinyML","Reverse.suggests":"bundle, DALEXtra, flowml, iForecast, iml, lares, lareshiny, lime, localICE, mlflow, mlr, NeuralSens, pheble, stacks","Reverse.enhances":"shapviz, texreg, vip","DOI":"10.32614/CRAN.package.h2o"} {"Package":"htmltools","Version":"0.5.8.1","Depends":"R (>= 2.14.1)","Imports":"base64enc, digest, fastmap (>= 1.1.0), grDevices, rlang (>=\n1.0.0), utils","Suggests":"Cairo, markdown, ragg, shiny, testthat, withr","Enhances":"knitr","License":"GPL (>= 2)","MD5sum":"f8035f661d3c6cc1c894dfd851ea00d1","NeedsCompilation":"yes","Author":"Joe Cheng [aut],\n Carson Sievert [aut, cre] (),\n Barret Schloerke [aut] (),\n Winston Chang [aut] (),\n Yihui Xie [aut],\n Jeff Allen [aut],\n Posit Software, PBC [cph, fnd]","Authors.R":"c(\n person(\"Joe\", \"Cheng\", , \"joe@posit.co\", role = \"aut\"),\n person(\"Carson\", \"Sievert\", , \"carson@posit.co\", role = c(\"aut\", \"cre\"),\n comment = c(ORCID = \"0000-0002-4958-2844\")),\n person(\"Barret\", \"Schloerke\", , \"barret@posit.co\", role = \"aut\",\n comment = c(ORCID = \"0000-0001-9986-114X\")),\n person(\"Winston\", \"Chang\", , \"winston@posit.co\", role = \"aut\",\n comment = c(ORCID = \"0000-0002-1576-2126\")),\n person(\"Yihui\", \"Xie\", , \"yihui@posit.co\", role = \"aut\"),\n person(\"Jeff\", \"Allen\", role = \"aut\"),\n person(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\"))\n )","BugReports":"https://github.com/rstudio/htmltools/issues","Collate":"'colors.R' 'fill.R' 'html_dependency.R' 'html_escape.R'\n'html_print.R' 'htmltools-package.R' 'images.R' 'known_tags.R'\n'selector.R' 'staticimports.R' 'tag_query.R' 'utils.R' 'tags.R'\n'template.R'","Date.Publication":"2024-04-04 05:03:00 UTC","Description":"Tools for HTML generation and output.","Encoding":"UTF-8","Maintainer":"Carson Sievert ","Packaged":"2024-04-02 14:26:15 UTC; cpsievert","Title":"Tools for HTML","Type":"Package","URL":"https://github.com/rstudio/htmltools,\nhttps://rstudio.github.io/htmltools/","Published":"2024-04-04","Reverse.depends":"kesernetwork, shiny.tailwind, SmarterPoland, soundClass","Reverse.imports":"accessrmd, aceEditor, AirExposure, algo, AlpsNMR, AnalysisLin, aniview, AnVIL, aos, AovBay, apexcharter, APIS, apisensr, argonDash, argonR, ASpli, aweSOM, azuremlsdk, basictabler, bea.R, BETS, billboarder, bioacoustics, BiocPkgTools, blastula, blogdown, bookdown, boxly, bpmnR, bs4cards, bs4Dash, bsicons, bslib, bsplus, bubblyr, CALANGO, canvasXpress, card.pro, cascadeSelect, 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Yihui Xie [aut],\n JJ Allaire [aut],\n Joe Cheng [aut],\n Carson Sievert [aut, cre] (),\n Kenton Russell [aut, cph],\n Ellis Hughes [ctb],\n Posit Software, PBC [cph, fnd]","Authors.R":"c(\n person(\"Ramnath\", \"Vaidyanathan\", role = c(\"aut\", \"cph\")),\n person(\"Yihui\", \"Xie\", role = \"aut\"),\n person(\"JJ\", \"Allaire\", role = \"aut\"),\n person(\"Joe\", \"Cheng\", , \"joe@posit.co\", role = \"aut\"),\n person(\"Carson\", \"Sievert\", , \"carson@posit.co\", role = c(\"aut\", \"cre\"),\n comment = c(ORCID = \"0000-0002-4958-2844\")),\n person(\"Kenton\", \"Russell\", role = c(\"aut\", \"cph\")),\n person(\"Ellis\", \"Hughes\", role = \"ctb\"),\n person(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\"))\n )","BugReports":"https://github.com/ramnathv/htmlwidgets/issues","Date.Publication":"2023-12-06 06:00:06 UTC","Description":"A framework for creating HTML widgets that render in various contexts including the R console, 'R Markdown' documents, and 'Shiny' web 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sparkline, SPARTAAS, sRACIPE, ssd4mosaic, sunburstR, svgPanZoom, swipeR, systemPipeR, thorn, threejs, tidycharts, tidycwl, timescape, timevis, tippy, tmap, TnT, toastui, trackViewer, TreatmentPatterns, treespace, trelliscopejs, TT, twitterwidget, UnalR, UniprotR, upsetjs, vegalite, vegawidget, video, visachartR, ViSEAGO, visNetwork, Visualize.CRAN.Downloads, vizdraws, volcano3D, voronoiTreemap, vtree, vueR, vvshiny, waffle, webmap, wordcloud2","Reverse.suggests":"airGRteaching, arulesViz, asciicast, BeeBDC, bookdown, ciftiTools, cleanepi, cli, CNVScope, COTAN, data.tree, dataquieR, DataVisualizations, distill, dm, EML, finnsurveytext, flipr, gap, ggfacto, glottospace, googleAnalyticsR, hereR, Hmisc, HVT, HYPEtools, inldata, inlpubs, knitr, leaflet.esri, leaflet.extras2, lime, mlr3pipelines, muir, mwshiny, pcutils, pkgdepends, pkgdown, plumber, reactR, spatialHeatmap, spinifex, stringr, teal.modules.general, terra, TimeVizPro, uavRmp, VOSONDash","Reverse.enhances":"repr","DOI":"10.32614/CRAN.package.htmlwidgets"} {"Package":"IAPWS95","Version":"1.2.4","Depends":"R (>= 3.5.0)","Imports":"ggplot2, pander, Rcpp","LinkingTo":"Rcpp","Suggests":"knitr, rmarkdown, testthat","License":"MIT + file LICENSE","MD5sum":"db852998561af6cfffcb011d30a5754f","NeedsCompilation":"yes","Author":"Benedito Baptista [aut],\n Shawn Way [cre]","Authors.R":"c(person(\"Benedito\", \"Baptista\", role = c(\"aut\")),\n person(\"Shawn\", \"Way\", email = \"shawnway@yahoo.com\", role = c(\"cre\")))","Date.Publication":"2023-09-11 11:32:34 UTC","Description":"An implementation of the International Association for the Properties of Water (IAPWS) Formulation 1995 for the Thermodynamic Properties of Ordinary Water Substance for General and Scientific Use and on the releases for viscosity, conductivity, surface tension and melting pressure.","Encoding":"UTF-8","LazyData":"true","Maintainer":"Shawn Way ","Packaged":"2023-09-08 19:26:47 UTC; SWay","Title":"Thermophysical Properties of Water and Steam","VignetteBuilder":"knitr,rmarkdown","Published":"2023-09-11","DOI":"10.32614/CRAN.package.IAPWS95"} {"Package":"ICcalib","Version":"1.0.8","Imports":"Rcpp (>= 0.12.5), survival, fitdistrplus, icenReg, numDeriv,\nICsurv, msm, MASS","LinkingTo":"Rcpp, RcppArmadillo","License":"GPL (>= 2)","MD5sum":"a8ff3ce6e305156990e99cf26677a717","NeedsCompilation":"yes","Author":"Daniel Nevo","Date":"2018-07-23","Date.Publication":"2018-08-01 04:30:03 UTC","Description":"Calibration and risk-set calibration methods for fitting Cox proportional hazard model when a binary covariate is measured intermittently. Methods include functions to fit calibration models from interval-censored data and modified partial likelihood for the proportional hazard model, Nevo et al. (2018+) .","Maintainer":"Daniel Nevo ","Packaged":"2018-07-31 19:07:26 UTC; User","Title":"Cox Model with Interval-Censored Starting Time of a Covariate","Type":"Package","Published":"2018-08-01","DOI":"10.32614/CRAN.package.ICcalib"} {"Package":"igraph","Version":"2.0.3","Depends":"methods, R (>= 3.5.0)","Imports":"cli, graphics, grDevices, lifecycle, magrittr, Matrix,\npkgconfig (>= 2.0.0), rlang, stats, utils, vctrs","LinkingTo":"cpp11 (>= 0.4.7)","Suggests":"ape (>= 5.7-0.1), callr, decor, digest, graph, igraphdata,\nknitr, rgl, rmarkdown, scales, stats4, tcltk, testthat, vdiffr,\nwithr","License":"GPL (>= 2)","MD5sum":"36b28af2a8910060551629b306165f75","NeedsCompilation":"yes","Author":"Gabor Csardi [aut] (),\n Tamas Nepusz [aut] (),\n Vincent Traag [aut] (),\n Szabolcs Horvat [aut] (),\n Fabio Zanini [aut] (),\n Daniel Noom [aut],\n Kirill Muller [aut, cre] (),\n Maelle Salmon [ctb],\n Michael Antonov [ctb],\n Chan Zuckerberg Initiative [fnd]","Authors.R":"c(\n person(\"Gabor\", \"Csardi\", , \"csardi.gabor@gmail.com\", role = \"aut\",\n comment = c(ORCID = \"0000-0001-7098-9676\")),\n person(\"Tamas\", \"Nepusz\", , \"ntamas@gmail.com\", role = \"aut\",\n comment = c(ORCID = \"0000-0002-1451-338X\")),\n person(\"Vincent\", \"Traag\", role = \"aut\",\n comment = c(ORCID = \"0000-0003-3170-3879\")),\n person(\"Szabolcs\", \"Horvat\", , \"szhorvat@gmail.com\", role = \"aut\",\n comment = c(ORCID = \"0000-0002-3100-523X\")),\n person(\"Fabio\", \"Zanini\", , \"fabio.zanini@unsw.edu.au\", role = \"aut\",\n comment = c(ORCID = \"0000-0001-7097-8539\")),\n person(\"Daniel\", \"Noom\", role = \"aut\"),\n person(\"Kirill\", \"Muller\", , \"kirill@cynkra.com\", role = c(\"aut\", \"cre\"),\n comment = c(ORCID = \"0000-0002-1416-3412\")),\n person(\"Maelle\", \"Salmon\", role = \"ctb\"),\n person(\"Michael\", \"Antonov\", role = \"ctb\"),\n person(\"Chan Zuckerberg Initiative\", role = \"fnd\")\n )","BugReports":"https://github.com/igraph/rigraph/issues","Date.Publication":"2024-03-13 07:30:02 UTC","Description":"Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.","Encoding":"UTF-8","Maintainer":"Kirill Muller ","Packaged":"2024-03-12 18:19:12 UTC; kirill","SystemRequirements":"libxml2 (optional), glpk (>= 4.57, optional)","Title":"Network Analysis and Visualization","URL":"https://r.igraph.org/, https://igraph.org/,\nhttps://igraph.discourse.group/","VignetteBuilder":"knitr","Published":"2024-03-13","Reverse.depends":"AurieLSHGaussian, bbnet, bc3net, BioNAR, BiRewire, BNSL, bnstruct, Boptbd, brainGraph, c3net, causaloptim, cccd, centiserve, cglasso, clickstream, clustAnalytics, conos, corclass, coreCT, corkscrew, covEB, CTD, DART, dc3net, Diderot, DiffCorr, diffee, DiffNet, disparityfilter, ebdbNet, editrules, FamAgg, fanovaGraph, fasjem, flare, Fletcher2013b, FlowSOM, func2vis, GADAG, gdistance, genlasso, ggkegg, gor, graphkernels, GraphPAC, GSAR, GSD, habCluster, hglasso, hipathia, 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plinkQC, PLNmodels, pmd, PNAR, polymapR, PolyTree, pomdp, pop, poppr, POSetR, priorCON, prioritizr, ProgModule, ProjectManagement, provGraphR, PSMatch, psSubpathway, psygenet2r, ptools, PUGMM, PWIR, pwOmics, qdap, QFeatures, qgraph, qmtools, quanteda.textplots, R.temis, R3CPET, R6causal, RaceID, Racmacs, Radviz, rags2ridges, RavenR, rcausim, RcextTools, RcmdrPlugin.RMTCJags, rcrimeanalysis, RCSL, RCX, rD3plot, rdracor, RDS, ReactomePA, RedeR, regnet, ReliabilityTheory, remify, rEMM, RepertoiR, ResIN, RevEcoR, rflexscan, rgexf, rhcoclust, RITAN, riverconn, RLassoCox, rmcfs, rnaCrosslinkOO, RNAseqNet, rnmamod, Rnmr1D, roads, robber, RobustIV, robustrao, roots, roughnet, RPANDA, rPref, rscc, rScudo, rSDI, rsetse, RSP, rSpectral, rsppfp, rsyntax, RTN, rTwig, RWgraph, saotd, saseR, SBGNview, sBIC, sbm, SBN, scalpel, scapGNN, scClassify, sccore, scDblFinder, scDHA, SCFA, scHOT, scider, scINSIGHT, scistreer, scMerge, scMultiSim, scoredec, ScorePlus, SCORPION, scran, scRepertoire, scRNAtools, scTensor, scTGIF, scTreeViz, secrlinear, SelectBoost, SEMID, SemNeT, semPlot, seqcombo, SeqDetect, seqHMM, SeqNet, Seurat, sfcr, sfnetworks, SFSI, sgraph, SGSeq, sharp, shazam, shock, SID, sidier, sigmajs, SignacX, signnet, simcausal, simDAG, simdata, simona, simplifyNet, SingleCellSignalR, singleCellTK, SIRE, skynet, slingshot, smallstuff, SmCCNet, SMITE, smotefamily, snahelper, snowboot, SOAs, SoilR, solitude, spacejamr, SpaDES.core, Spaniel, spathial, SpatialCPie, SpatialGraph, spatialHeatmap, spatsoc, specr, spinner, SplicingGraphs, spNetwork, SPONGE, spreadr, ssifs, ssMutPA, sSNAPPY, SSNbler, statGraph, stemmatology, stminsights, STraTUS, STRINGdb, SubtypeDrug, SuperCell, supraHex, SurvHiDim, synaptome.db, syntenet, SystemicR, TangledFeatures, targets, TAShiny, TDA, ternarynet, text2map, textrank, tidygraph, tidySEM, tilemaps, tip, Tlasso, TOHM, TOmicsVis, TOP, topologyGSA, tosr, TPEA, trackViewer, tradeSeq, TrajectoryUtils, transcriptogramer, TreeAndLeaf, TreeDimensionTest, treefit, treemap, TRONCO, TSCAN, UNCOVER, uSORT, VARDetect, veloviz, VertexSimilarity, VertexWiseR, ViSEAGO, vissE, vivainsights, vivid, VOSONDash, WayFindR, wdnet, WebGestaltR, webSDM, whitechapelR, whomds, wpa, wppi, wTO, XINA, xLLiM, ZygosityPredictor","Reverse.suggests":"agop, anocva, ape, atrrr, BayesSpace, BiCausality, bifurcatingr, bio3d, BiocFHIR, biodbKegg, BiodiversityR, blackbox, bnclassify, bnlearn, BoomSpikeSlab, breathteststan, bsub, CASCORE, CBnetworkMA, cfid, chessboard, chouca, ChromSCape, cito, clusterExperiment, CNORfeeder, CNVScope, coglasso, ConnMatTools, countland, CovCombR, covtracer, cppRouting, csdR, cspp, d3po, dagitty, DAPAR, dartR, dartR.base, dartR.captive, dartR.popgen, datapack, dbscan, DDD, debkeepr, deepdep, destiny, dimRed, DirectedClustering, diverse, dodgr, dosearch, DramaAnalysis, DRquality, dst, dyndimred, EBcoexpress, econullnetr, ecpc, egor, eicm, epigraphdb, epiworldR, factoextra, FCPS, finbipartite, FinNet, frechet, fsbrain, fullRankMatrix, functiondepends, funspotr, gamlss.ggplots, genscore, GGally, ggokabeito, ggsc, ghypernet, goldfish, graphicalMCP, graphon, greed, gsbm, HarmonizedTCGAData, HCAData, HelpersMG, hero, hydra, igraphdata, industRial, inferCSN, invertiforms, IOHanalyzer, isa2, iSEEu, isotracer, knitrBootstrap, latrend, lava, lfe, Libra, lionessR, lolog, LSTbook, maotai, MapperAlgo, MBNMAtime, metadat, MetNet, miaSim, miic, MineICA, mistyR, mlr3pipelines, mlr3shiny, mlr3torch, MOSim, MR.RGM, MSG, NAC, nbTransmission, Nebulosa, net4pg, netcmc, netmediate, netmeta, netSmooth, nett, NetworkInference, NetworkRiskMeasures, nexus, nosoi, outbreaker2, PairViz, paramlink, pcutils, pcxn, pedtools, pkgndep, polmineR, polyqtlR, primer, proteasy, protti, purgeR, rangeMapper, raster, rBiopaxParser, rbmn, RcisTarget, RCy3, readsdr, rebook, recipes, ReDaMoR, repo, ReporterScore, rgraph6, rIsing, rnetcarto, RPointCloud, rquery, RScelestial, RTMB, rtweet, rvinecopulib, Rwclust, Ryacas, Ryacas0, scDesign3, scDiffCom, schex, scPipe, secr, secuTrialR, sensitivity, seqtrie, sfcurve, sfdep, sharpshootR, simer, SIMLR, simplifyEnrichment, sirt, SITH, spatialreg, spdep, spdynmod, speakeasyR, spectralGraphTopology, splatter, SplicingGraphs, SPOTlight, stabm, stagedtrees, stm, stplanr, surface, surveygraph, svs, SynExtend, TCGAbiolinks, TDApplied, textmineR, TextMiningGUI, textplot, tgver, tidybulk, tidyjson, tidySingleCellExperiment, tidySpatialExperiment, timeOmics, TNC, treeio, treespace, treestats, TunePareto, visNetwork, vkR, vocaldia, vosonSML, vsp, widyr, wikkitidy, wildlifeDI, xgboost, xtranat, zoomerjoin","Reverse.enhances":"d3r, data.tree, geNetClassifier, rviewgraph","Deadline":"2024-10-23","DOI":"10.32614/CRAN.package.igraph"} {"Package":"jsonlite","Version":"1.8.9","Depends":"methods","Suggests":"httr, vctrs, testthat, knitr, rmarkdown, R.rsp, sf","License":"MIT + file LICENSE","MD5sum":"ff89aba357dfa4574e1947066fd5cfe1","NeedsCompilation":"yes","Author":"Jeroen Ooms [aut, cre] (),\n Duncan Temple Lang [ctb],\n Lloyd Hilaiel [cph] (author of bundled libyajl)","Authors.R":"c(\n person(\"Jeroen\", \"Ooms\", role = c(\"aut\", \"cre\"), email = \"jeroenooms@gmail.com\",\n comment = c(ORCID = \"0000-0002-4035-0289\")),\n person(\"Duncan\", \"Temple Lang\", role = \"ctb\"),\n person(\"Lloyd\", \"Hilaiel\", role = \"cph\", comment=\"author of bundled libyajl\"))","BugReports":"https://github.com/jeroen/jsonlite/issues","Date.Publication":"2024-09-20 08:40:14 UTC","Description":"A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers simple, flexible tools for working with JSON in R, and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.","Encoding":"UTF-8","Maintainer":"Jeroen Ooms ","Packaged":"2024-09-19 15:41:06 UTC; jeroen","Title":"A Simple and Robust JSON Parser and Generator for R","URL":"https://jeroen.r-universe.dev/jsonlite\nhttps://arxiv.org/abs/1403.2805","VignetteBuilder":"knitr, R.rsp","Published":"2024-09-20","Reverse.depends":"BrowserViz, CEOdata, ClusterJudge, Cogito, cyjShiny, D4TAlink.light, dictionaRy, eFRED, ExpressionAtlas, GoogleKnowledgeGraphR, hystReet, instaR, kofdata, limexhub, openaistream, openblender, rflsgen, rgdax, RGoogleAnalyticsPremium, RGoogleFit, Rlabkey, RSauceLabs, rusquant, RWildbook, seleniumPipes, TMDb, webglobe","Reverse.imports":"abstr, academictwitteR, Achilles, acled.api, acumos, adformR, adobeanalyticsr, adsDataHubR, AirExposure, airGRiwrm, aiRly, airnow, airr, alabaster.base, alabaster.mae, alabaster.sce, alabaster.se, alfr, alfred, algaeClassify, algo, alphavantager, altadata, altfuelr, amapGeocode, AMAPVox, amazonadsR, amazons3R, amazonspR, amberr, amerifluxr, analogsea, animate, aniview, AnnotationHubData, antaresRead, AnVIL, AnVILPublish, AnVILWorkflow, aos, APCalign, apexcharter, appeears, appleadsR, appsflyeR, apsimx, arakno, arcgeocoder, archiveRetriever, archivist.github, arcpullr, ARDECO, arenar, argparse, ArrayExpress, asciicast, askgpt, atom4R, ausplotsR, AutoDeskR, available, awinR, AWR.Kinesis, aws.comprehend, aws.ec2metadata, aws.iam, aws.kms, aws.lambda, aws.polly, aws.transcribe, aws.translate, azlogr, AzureAppInsights, AzureAuth, AzureCognitive, AzureCosmosR, AzureGraph, AzureKeyVault, AzureKusto, AzureRMR, AzureTableStor, AzureVM, badgen, bambooHR, baseballr, batata, bcdata, bcmaps, bdl, bea.R, beakr, bender, BENMMI, BgeeCall, bigrquery, billboarder, binancer, bingadsR, binman, biobtreeR, BiocFHIR, BioCircos, biocompute, BiocPkgTools, biodb, biomartr, BIOMASS, 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webmockr, webshot, webutils, wehoop, whereami, whoami, wiesbaden, WikidataQueryServiceR, WikidataR, WikipediR, wikitaxa, wikiTools, windsoraiR, worldfootballR, worrms, wosr, WufooR, x.ent, xaringanExtra, xcms, xgboost, XKCDdata, xmpdf, XR, yahoofinancer, yfR, yhatr, YTAnalytics, zdeskR, zen4R, zipcodeR, zippeR, zoltr, zoomr, zzlite","Reverse.suggests":"alabaster.bumpy, alabaster.ranges, amapro, arrow, ARUtools, atrrr, auditor, autonomics, azuremlsdk, AzureStor, basictabler, BiocCheck, blsR, bookdown, bskyr, celltrackR, ChemoSpec, cloudfs, clusterProfiler, coda.base, ComplexUpset, conos, cookiemonster, cowsay, crosstable, curl, d3r, data.tree, datadogr, DataExplorer, datamods, dbx, denvax, designr, dismo, divest, dm, dodgr, downlit, DropletUtils, duckdbfs, easystats, eCerto, echarty, ecmwfr, edgeR, eodhdR2, epiCleanr, EuPathDB, fbar, finch, funchir, futile.logger, gap, geodata, getable, ggeffects, glottospace, Gmisc, googlePubsubR, hfhub, Hmisc, httpgd, httr2, iBreakDown, ingredients, 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stars, stats19, stenR, stoRy, SummarizedExperiment, sunburstR, swagger, sysfonts, taxalight, teal.modules.general, TextMiningGUI, thematic, TheOpenAIR, this.path, tibblify, tractor.base, treeshap, tximport, ustfd, VariantAnnotation, vcr, vetiver, wallace, webfakes, whitewater, winfapReader, xaringan, xfun, xplorerr, yulab.utils, yyjsonr","DOI":"10.32614/CRAN.package.jsonlite"} {"Package":"KernSmooth","Version":"2.23-24","Priority":"recommended","Depends":"R (>= 2.5.0), stats","Suggests":"MASS, carData","License":"Unlimited","MD5sum":"26f2774c2bd3f02e8687f82b00a34272","NeedsCompilation":"yes","Author":"Matt Wand [aut],\n Cleve Moler [ctb] (LINPACK routines in src/d*),\n Brian Ripley [trl, cre, ctb] (R port and updates)","Authors.R":"c(person(\"Matt\", \"Wand\", role = \"aut\",\n\t email = \"Matt.Wand@uts.edu.au\"),\n\t person(\"Cleve\", \"Moler\", role = \"ctb\",\n\t comment = \"LINPACK routines in src/d*\"),\n person(\"Brian\", \"Ripley\", role = c(\"trl\", \"cre\", \"ctb\"),\n email = \"ripley@stats.ox.ac.uk\",\n\t\t comment = \"R port and updates\"))","ByteCompile":"yes","Date":"2024-05-16","Date.Publication":"2024-05-17 09:28:22","Description":"Functions for kernel smoothing (and density estimation) corresponding to the book: Wand, M.P. and Jones, M.C. (1995) \"Kernel Smoothing\".","Maintainer":"Brian Ripley ","Note":"Maintainers are not available to give advice on using a package\nthey did not author.","Packaged":"2024-05-17 07:28:00 UTC; ripley","Title":"Functions for Kernel Smoothing Supporting Wand & Jones (1995)","Published":"2024-05-17","Reverse.depends":"bioDist, BwQuant, DeMAND, DeMixT, gammSlice, gb, GoFKernel, KCsmart, LiebermanAidenHiC2009, mpmi, MPV, PlotContour, qualV, RCMinification, sharpData, sharpPen, sspse, TPmsm, vcPB","Reverse.imports":"adegraphics, amt, ATACseqQC, BayLum, BiplotGUI, CAGEr, CausalGPS, cholera, classInt, CoMiRe, compcodeR, condSURV, curvHDR, dearseq, DeBoinR, diveMove, DRDRtest, DSWE, dupRadar, DVHmetrics, earlywarnings, FactoClass, FiSh, flowStats, flowViz, ftsa, ggalt, gplots, hdcate, hdrcde, heatmaps, HiCcompare, hoardeR, HRW, IFC, IndexConstruction, INSPEcT, IWTomics, jocre, kamila, kdevine, kernplus, ks, localIV, longsurr, lumi, Mercator, methylKit, mgcViz, miRcomp, mpm, mxnorm, NCA, panelhetero, philentropy, prevR, prodlim, promotionImpact, quantCurves, quantdr, r2d2, ramwas, rassta, rcrimeanalysis, rddtools, refreg, robsurvey, rstanbdp, Rtrack, SCBmeanfd, SensoMineR, seqPattern, Seurat, shazam, shotGroups, sigQC, singleCellTK, siqr, spd, stopp, stpp, survcomp, survidm, survivalREC, TPCselect, TSclust, TSdist, tsdistributions, viper","Reverse.suggests":"AER, aroma.core, bayestestR, colorspace, copula, cutpointr, DHARMa, EDASeq, HistData, HSAUR, HSAUR2, HSAUR3, integIRTy, kernelboot, kldest, LaplacesDemon, latentnet, lattice, lava, lessR, mapsFinland, MRS, MSG, MVA, NCmisc, nipalsMCIA, openair, pagoda2, PBSmodelling, prettydoc, RGraphics, rstan, scCB2, sesame, siggenes, simsem, sparrow, stm, survey, tidybulk, tidyvpc, trio, vcd, XDNUTS","DOI":"10.32614/CRAN.package.KernSmooth"} {"Package":"latexpdf","Version":"0.1.8","License":"GPL-3","MD5sum":"d2ab3673953257468988e1c720f1b4c0","NeedsCompilation":"no","Author":"Tim Bergsma","Date.Publication":"2023-12-19 18:30:02 UTC","Description":"Converts table-like objects to stand-alone PDF or PNG. Can be used to embed tables and arbitrary content in PDF or Word documents. Provides a low-level R interface for creating 'LaTeX' code, e.g. command() and a high-level interface for creating PDF documents, e.g. as.pdf.data.frame(). Extensive customization is available via mid-level functions, e.g. as.tabular(). See also 'package?latexpdf'. Support for PNG is experimental; see 'as.png.data.frame'. Adapted from 'metrumrg' . Requires a compatible installation of 'pdflatex', e.g. .","Encoding":"UTF-8","Maintainer":"Tim Bergsma ","Packaged":"2023-12-19 18:00:40 UTC; tim.bergsma","Title":"Convert Tables to PDF or PNG","Type":"Package","Published":"2023-12-19","Reverse.imports":"RWsearch, spork","Reverse.suggests":"tablet","DOI":"10.32614/CRAN.package.latexpdf"} {"Package":"lattice","Version":"0.22-6","Priority":"recommended","Depends":"R (>= 4.0.0)","Imports":"grid, grDevices, graphics, stats, utils","Suggests":"KernSmooth, MASS, latticeExtra, colorspace","Enhances":"chron, zoo","License":"GPL (>= 2)","MD5sum":"8d912f14f62d3d2e86200ea51514536a","NeedsCompilation":"yes","Author":"Deepayan Sarkar [aut, cre] (),\n Felix Andrews [ctb],\n Kevin Wright [ctb] (documentation),\n Neil Klepeis [ctb],\n Johan Larsson [ctb] (miscellaneous improvements),\n Zhijian (Jason) Wen [cph] (filled contour code),\n Paul Murrell [ctb],\n Stefan Eng [ctb] (violin plot improvements),\n Achim Zeileis [ctb] (modern colors),\n Alexandre Courtiol [ctb] (generics for larrows, lpolygon, lrect and\n lsegments)","Authors.R":"c(person(\"Deepayan\", \"Sarkar\", role = c(\"aut\", \"cre\"),\n\t email = \"deepayan.sarkar@r-project.org\",\n\t\t comment = c(ORCID = \"0000-0003-4107-1553\")),\n person(\"Felix\", \"Andrews\", role = \"ctb\"),\n\t person(\"Kevin\", \"Wright\", role = \"ctb\", comment = \"documentation\"),\n\t person(\"Neil\", \"Klepeis\", role = \"ctb\"),\n\t person(\"Johan\", \"Larsson\", role = \"ctb\", comment = \"miscellaneous improvements\"),\n person(\"Zhijian (Jason)\", \"Wen\", role = \"cph\", comment = \"filled contour code\"),\n person(\"Paul\", \"Murrell\", role = \"ctb\", email = \"paul@stat.auckland.ac.nz\"),\n\t person(\"Stefan\", \"Eng\", role = \"ctb\", comment = \"violin plot improvements\"),\n\t person(\"Achim\", \"Zeileis\", role = \"ctb\", comment = \"modern colors\"),\n person(\"Alexandre\", \"Courtiol\", role = \"ctb\", comment = \"generics for larrows, lpolygon, lrect and lsegments\")\n\t )","BugReports":"https://github.com/deepayan/lattice/issues","Date":"2024-03-20","Date.Publication":"2024-03-20 06:10:02 UTC","Description":"A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.","LazyData":"yes","LazyLoad":"yes","Maintainer":"Deepayan Sarkar ","Packaged":"2024-03-20 03:08:45 UTC; deepayan","Title":"Trellis Graphics for R","URL":"https://lattice.r-forge.r-project.org/","Published":"2024-03-20","Reverse.depends":"abd, addScales, ALDEx2, ASMap, assist, backtest, barcode, BayesGPfit, BayesianMediationA, bc3net, bgmm, biclust, BigVAR, BoutrosLab.plotting.general, BRAIN, BSDA, cardidates, caret, cem, clippda, clusterCons, ClusterJudge, coalescentMCMC, ConvergenceConcepts, Cubist, cvTools, DCL, designmatch, Devore7, EBarrays, eHOF, ELT, EngrExpt, equivalence, erboost, EstCRM, evidence, FAwR, flare, flexclust, flexmix, flowViz, gammSlice, geneplotter, generalCorr, geoelectrics, growthrates, gsbDesign, hett, HH, HilbertVis, hotspots, hyperSpec, ICEinfer, iClick, iGasso, ILS, InvasionCorrection, kergp, kzs, latticeExtra, lfstat, loa, maCorrPlot, Maeswrap, MALDIrppa, mapStats, MCPMod, memisc, mirt, mixexp, mixOmics, mixture, MPV, mritc, msme, msqc1, nFactors, NU.Learning, optiscale, PairedData, PASWR, PASWR2, pems.utils, pencopulaCond, pendensity, phenmod, plink, portfolio, ProTrackR, qra, randomLCA, rasterVis, RcmdrPlugin.temis, REPPlab, Rmisc, robfilter, robustsae, RSA, RSAtools, SALTSampler, SEL, simFrame, simPop, solaR, solaR2, spectral, spuRs, statnetWeb, stripless, survSNP, SwathXtend, tactile, TDboost, tdr, TestingSimilarity, vegan, waterfall, wskm, xpose4","Reverse.imports":"adaptTest, ade4TkGUI, adegraphics, adespatial, affycoretools, agriTutorial, AICcmodavg, albatross, aLFQ, AllelicImbalance, ALTopt, ammiBayes, analogue, animalcules, annmap, apc, ape, AppliedPredictiveModeling, aqp, arrayQualityMetrics, asbio, ASMbook, atime, automap, BAMBI, BayesianNetwork, bbmle, BCDAG, bdvis, bestglm, BiBitR, biometryassist, blackbox, Blendstat, brainGraph, c060, caretEnsemble, Cascade, CensSpatial, cg, ChainLadder, chipenrich, chipseq, ClinicalUtilityRecal, clst, clstutils, clubpro, cn.farms, CNVRanger, coda, comato, compcodeR, copula, Countr, crlmm, cubeview, cv, cvmgof, DAAG, daewr, dcmle, ddCt, deeptime, DEGraph, denstrip, DepthProc, desplot, dfphase1, DiffBind, DoE.base, DoseFinding, dplR, drawsample, EBarrays, ecochange, effects, eggCounts, ELMER, emdbook, EmiStatR, epiNEM, EQL, eRm, ETAS, etm, facmodCS, facmodTS, FactoMineR, faoutlier, fastR2, FeatureTerminatoR, FieldSimR, FishResp, fit.models, flowStats, flowViz, foreSIGHT, fungible, GALLO, gamclass, gbm, gcbd, GENLIB, gerbil, ggcleveland, ggtern, GLMMRR, Gmisc, gpairs, GPfit, GPM, greport, gstat, Gviz, gwid, GWSDAT, HaploCatcher, hdbma, HDCI, HDShOP, hexbin, Hiiragi2013, HMP, hydroTSM, IAcsSPCR, IDPmisc, IFC, IMAS, immunoClust, ImputeRobust, industRial, influence.ME, isa2, IsoriX, joineR, kangar00, kdecopula, lemon, lessR, lme4, LocalControl, locfit, lulcc, lumi, maCorrPlot, MACSQuantifyR, MadanText, MadanTextNetwork, mapview, matchingMarkets, Matrix, mboost, MCMCpack, MDBED, MetaGxBreast, MetaGxOvarian, metap, metaplot, metaseqR2, methylumi, mice, microplot, minfi, MinimumDistance, mirtCAT, mixPHM, MixSIAR, mlt.docreg, mma, mnem, MoEClust, morphomap, mosaic, mosaics, mountainplot, MplusAutomation, MSnbase, mstate, mt, MultBiplotR, mvna, mycor, NCSampling, nlme, nonmem2R, npROCRegression, NSAE, ohtadstats, opa, openair, Orcs, pamm, Patterns, pbo, PCAPAM50, PCAtools, PCRA, pdp, pedometrics, plainview, plm, plotMCMC, polySegratioMM, PopGenReport, ppmlasso, pRoloc, protein8k, psych, psychomix, qicharts, qrmtools, QTLRel, R2admb, R2MLwiN, rankFD, rCGH, RcmdrMisc, RcmdrPlugin.HH, REBayes, refund, ReportingTools, Rfssa, RGraphics, riskRegression, Rita, rminer, RNAinteract, RNAinteractMAPK, RobLox, RobLoxBioC, robust, robustlmm, ROCnReg, RPPanalyzer, rrcov, rrcovNA, RSiena, Rssa, rties, runjags, RUVcorr, rvinecopulib, SAFARI, scape, scaRabee, scRNAtools, Select, SensMap, sharpshootR, ShortRead, shrinkTVPVAR, sights, sigQC, sisal, SixSigma, slfm, slideview, SNPhood, SongEvo, sp, spacetime, spind, sse, stacomiR, stlplus, stressr, stylo, SuperpixelImageSegmentation, Surrogate, survey, SWMPr, synapter, synergyfinder, synthpop, TAF, tcl, textplot, tigerstats, Toothnroll, topGO, trajectories, tripEstimation, tTOlr, TurboNorm, twang, twangContinuous, twangMediation, unmarked, VanillaICE, varbvs, VARDetect, VineCopula, visreg, VOSONDash, vsn, waterData, WeightedTreemaps, wrGraph, xcms, zoo","Reverse.suggests":"acss, actuaRE, ade4, admix, AER, afex, agridat, agriutilities, animint2, asremlPlus, baseline, bayesImageS, BClustLonG, beanplot, betareg, binom, bio3d, BioCro, BiodiversityR, BioQC, biotools, bnlearn, brokenstick, camtrapR, cassandRa, Category, cati, CDM, ChemoSpec, ChemoSpecUtils, ChoiceModelR, cohorttools, copCAR, CORElearn, CorrBin, cotram, cowplot, CRISPRseek, cvGEE, dartR, dartR.base, DCCA, DCG, dclone, deform, DEGraph, DEoptim, desirability, detrendr, DIAlignR, DiceDesign, directlabels, DirichletMultinomial, div, diveMove, DTAT, dyn, dyntaper, ecostats, EFA.dimensions, eiPack, emmeans, EnvStats, episensr, ergm, eulerr, evaluate, evtree, fairml, fda, forplo, fourierin, FuncMap, gamair, gamlss.add, gamlss.lasso, gap, gaussplotR, gcKrig, gear, geoR, georob, gge, ggformula, ggordiplots, ggplotify, ggthemes, gllvm, glmertree, GLMMadaptive, glmmTMB, glogis, greta, gridBase, gridDebug, gridExtra, gridGeometry, gridSVG, grImport, gsubfn, GUD, hamlet, heplots, hextri, hhh4contacts, HilbertVisGUI, HistData, Hmisc, HRW, HSAUR, HSAUR2, HSAUR3, ICAOD, interp, intkrige, isotracer, JMbayes2, JoSAE, KRLS, Lahman, languageR, latentcor, lcmm, leafpop, LMMstar, LPCM, LSAmitR, LSRS, lucid, marmap, MASS, MAST, mbbefd, MEMSS, meteoForecast, MethComp, methylumi, mi, mlbench, MLInterfaces, mlmRev, mlogit, Morpho, mosaicData, movMF, MPDiR, mrgsolve, MsBackendRawFileReader, MSIMST, multilaterals, multipanelfigure, mutoss, MVA, NBR, NestLink, NHSRdatasets, nlmeU, nlraa, NO.PING.PONG, npmlreg, nvmix, Oncotree, OrgMassSpecR, pacman, pagenum, pander, PBImisc, pcaMethods, pdc, Perc, periscope2, plotscale, polyCub, polywog, protViz, PRSim, pscl, psyphy, qcmetrics, qqplotr, qrmdata, r2d2, rain, Rcmdr, RcmdrPlugin.NMBU, RcppDE, RcppZiggurat, remote, reshape2, RFLPtools, rfordummies, RforProteomics, RGCxGC, rgl, RMark, rms, robmixglm, robustbase, robustfa, robustX, round, rpanel, RRHO, rSPDE, rstpm2, rtdists, rtf, sageR, sand, sandwich, SASmixed, SCEPtER, SCEPtERbinary, SemiPar, sensitivity, sfsmisc, shinyPredict, simecol, simsalapar, sklarsomega, Sleuth2, Sleuth3, smoothROCtime, soilhypfit, SoilR, sommer, SpaDES.core, spdep, sperich, SPSL, staplr, StatRank, stellaR, stepgbm, steprf, stlnpp, subsemble, superb, SuperLearner, surveillance, swag, TAM, tbm, TeachingDemos, teal.modules.general, teal.reporter, teal.widgets, tergm, tern, texmex, TH.data, thematic, tikzDevice, tmvtnorm, tools4uplift, topicmodels, TrackReconstruction, tram, tramnet, TransPhylo, trip, udpipe, ustyc, varycoef, VC2copula, vcdExtra, vip, vipor, vivo, voluModel, wCorr, WeightedCluster, XLConnect, zenplots","DOI":"10.32614/CRAN.package.lattice"} {"Package":"magrittr","Version":"2.0.3","Depends":"R (>= 3.4.0)","Suggests":"covr, knitr, rlang, rmarkdown, testthat","License":"MIT + file LICENSE","MD5sum":"86a110ed23536ebe26c51ff90f2a1435","NeedsCompilation":"yes","Author":"Stefan Milton Bache [aut, cph] (Original author and creator of\n magrittr),\n Hadley Wickham [aut],\n Lionel Henry [cre],\n RStudio [cph, fnd]","Authors.R":"c(\n person(\"Stefan Milton\", \"Bache\", , \"stefan@stefanbache.dk\", role = c(\"aut\", \"cph\"),\n comment = \"Original author and creator of magrittr\"),\n person(\"Hadley\", \"Wickham\", , \"hadley@rstudio.com\", role = \"aut\"),\n person(\"Lionel\", \"Henry\", , \"lionel@rstudio.com\", role = \"cre\"),\n person(\"RStudio\", role = c(\"cph\", \"fnd\"))\n )","BugReports":"https://github.com/tidyverse/magrittr/issues","ByteCompile":"Yes","Date.Publication":"2022-03-30 07:30:09 UTC","Description":"Provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. There is flexible support for the type of right-hand side expressions. For more information, see package vignette. To quote Rene Magritte, \"Ceci n'est pas un pipe.\"","Encoding":"UTF-8","Maintainer":"Lionel Henry ","Packaged":"2022-03-29 09:34:37 UTC; lionel","Title":"A Forward-Pipe Operator for R","Type":"Package","URL":"https://magrittr.tidyverse.org,\nhttps://github.com/tidyverse/magrittr","VignetteBuilder":"knitr","Published":"2022-03-30","Reverse.depends":"banter, BubbleTree, cchsflow, CellBench, cfDNAPro, cft, chronicle, ClusterBootstrap, CollapseLevels, colocPropTest, CSCNet, d3plus, d3po, ENMeval, escalation, ExpAnalysis3d, flashier, flatr, gbp, GenAI, GenomicDataCommons, gitear, Guitar, imager, lacrmr, microbiomeExplorer, mvp, navigation, octad, oncoscanR, peruse, portfolio.optimization, Q7, radiant.data, RapidoPGS, rcaiman, recurrentpseudo, ReDaMoR, RGENERATE, RLumCarlo, rtables, samplesize4surveys, seleniumPipes, SimEngine, skm, stream, tangram, TeachingSampling, tidycharts, TKCat, TPP, TrumpetPlots, WaMaSim, xtsum","Reverse.imports":"AATtools, abjutils, abstr, academictwitteR, accrualPlot, acroname, activAnalyzer, activPAL, actuaRE, actuaryr, add2ggplot, adept, admiral, admiralonco, admiralophtha, admiralpeds, admiralvaccine, admixr, aeddo, aedseo, AEenrich, afdx, agcounts, agriutilities, agvgd, ahnr, ahpsurvey, AHPWR, aihuman, AirMonitor, airt, akc, alfr, alfred, allcontributors, allofus, almanac, AlphaPart, AlpsNMR, altair, altfuelr, amanida, amapGeocode, AmesHousing, analogsea, AnalysisLin, AnanseSeurat, animalcules, AnimalSequences, animl, anipaths, aniSNA, AnVILBilling, anybadger, aoos, apa, APackOfTheClones, APCI, apexcharter, APL, aplot, appsheet, AquaBEHER, AquaticLifeHistory, aquodom, archivist, arealDB, arena2r, ARGOS, arpr, ARTool, aspline, ASSISTant, attachment, attrib, audubon, auk, autoharp, autohrf, automagic, autonewsmd, autonomics, AutoScore, autostats, autothresholdr, autoTS, aws.wrfsmn, baguette, baizer, bakR, baldur, bambooHR, bamm, barcodetrackR, baseballr, basecallQC, basedosdados, BaseSet, BasketballAnalyzeR, batchtma, bate, BAwiR, bayesammi, bayesCT, BayesFBHborrow, BayesianReasoning, bayesMeanScale, bayesmlogit, BayesMortalityPlus, bayesmove, BayesMultiMode, bayesrules, baystability, bbknnR, Bchron, bdc, bdl, bea.R, beakr, BEAMR, BeeGUTS, beezdiscounting, bennu, Bernadette, besthr, BFS, bfw, BGPhazard, BiasCorrector, biblioverlap, biclustermd, bigergm, BIGL, bigsnpr, bigstep, bigtime, billboarder, biocompute, BiocOncoTK, BiocPkgTools, biodosetools, BioImageDbs, birdscanR, bitmexr, bkmr, blastula, BlockCov, blscrapeR, bluebike, bmm, BOBaFIT, bootCT, BoundaryStats, boxr, bp, bpa, BPrinStratTTE, BPRMeth, brclimr, BREADR, breakaway, brendaDb, bridger, briqr, brolgar, brpop, BRVM, bs4cards, bsitar, bspcov, bsplus, bsynth, btb, buildr, bulkAnalyseR, bulkreadr, bumblebee, bupaR, bupaverse, BUSpaRse, butterflyOptions, bvhar, bwsTools, CalcThemAll.PRM, calibrationband, CamelUp, campfin, campsismod, canadamaps, cancerscreening, capl, capm, CaPO4Sim, caracas, card, caretForecast, carpenter, cases, casino, cassandRa, cassowaryr, catfun, catmaply, causact, causalBatch, causalPAF, CausCor, CB2, CBEA, cbioportalR, CBNplot, cbpManager, CCAMLRGIS, ccpsyc, CCWeights, cdrcR, celaref, CellBarcode, CellMixS, censable, censcyt, cepR, Certara.R, ceser, cfdnakit, cforward, cgmquantify, ch, ChangePointTaylor, cheatsheet, checkhelper, cheem, cheese, ChemoSpec, ChemoSpecUtils, chess, chessboard, chevron, childesr, childsds, chilemapas, chillR, ChIPseeker, chromConverter, chromote, chronochrt, CIARA, CICA, CIMTx, circRNAprofiler, CircSeqAlignTk, circumplex, cjar, ckanr, CKMRpop, cleanepi, clevRvis, clidatajp, clifford, clifro, clinspacy, CliquePercolation, clptheory, clr, ClustAssess, clustermole, clusternomics, clusterProfiler, ClustImpute, ClustMC, clustringr, cmcR, cmdfun, cms, CNAIM, CNViz, CNVMetrics, CNVScope, cocktailApp, CodelistGenerator, codemetar, CoDiNA, coefplot, cofad, Cogito, cogmapr, cohortBuilder, CohortCharacteristics, CohortConstructor, cohorts, CohortSurvival, CohortSymmetry, colocr, ColOpenData, colordistance, colorfindr, colorist, colorizer, ColorNameR, combinedevents, communication, comorosmaps, COMPASS, comperes, CompositeReliability, compositeReliabilityInNestedDesigns, ComPrAn, compSPOT, concatipede, concaveman, condformat, condiments, condorOptions, ConfidenceEllipse, ConfusionTableR, connectapi, connectwidgets, conos, conquestr, conrad, conserveR, consibiocloudclient, consortr, contribution, cophescan, CopulaCenR, copulaSim, corncob, corporaexplorer, corrcoverage, correlationfunnel, corrMCT, corrmeta, cosinor2, covid19france, covid19india, covid19sf, covid19tunisia, covid19us, COVIDIBGE, cpss, cpsvote, CR2, CRABS, crawl, CRE, crimeutils, criticality, criticalpath, CRMetrics, crops, CropScapeR, crosshap, crossnma, crosstalkr, crossword.r, CRTspat, csalert, cSEM, CSGo, CSHShydRology, cstidy, cstime, csutil, csvwr, cthist, cuperdec, curatedMetagenomicData, cvasi, cyclestreets, cyclomort, cystiSim, CyTOFpower, CytoGLMM, cytoKernel, cytominer, czechrates, czso, D3partitionR, dabestr, dabr, dacc, dafishr, dail, DAISIE, damAOI, Damsel, daqapo, dar, dat, databraryr, dataclass, datacleanr, datacutr, datadictionary, DataFakeR, dataframeexplorer, dataMaid, dataReporter, dataSDA, dataspice, datastepr, datazoom.amazonia, daySupply, dbGaPCheckup, DBItest, dbnR, dbplot, dbplyr, DBpower, DBTCShiny, dce, DCEtool, dcm2, dCUR, ddc, ddpcr, dearseq, debkeepr, decisionSupport, deckgl, decompDL, deconvR, decoupleR, decp, deepredeff, deepregression, degday, DEGreport, DemografixeR, demoGraphic, DemoKin, dendextend, dendroTools, denguedatahub, depigner, DescriptiveStats.OBeu, descriptr, DescrTab2, descstat, details, detrendr, df2yaml, dfoliatR, DGEobj, DiagrammeR, DIAlignR, diceR, Dict, didimputation, DIDmultiplegt, diffcyt, digiRhythm, dilp, dimRed, Directional, disbayes, discoverableresearch, discrtr, dispositionEffect, dissever, distcomp, distreg.vis, distrr, div, divseg, DIZtools, dlstats, dmai, dmtools, dndR, documenter, docuSignr, docxtractr, dodgr, DOPE, 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MiscMetabar, MittagLeffleR, MixMatrix, MMUPHin, MNLpred, modelsummary, momentuHMM, mosaic, move2, mpoly, MSnbase, MultiATSM, multivarious, naaccr, naflex, nanostringr, ncodeR, netplot, netrankr, newsanchor, ngramrr, NHSRdatasets, nodeSub, nomisr, nosoi, nullranges, odbc, ompr, ompr.roi, openeo, opera, operator.tools, optedr, optmatch, overviewR, ox, palettetown, path.chain, PCAtools, pdp, perccalc, permutations, pharmaRTF, pharmr, phylocanvas, phyloseq, physiology, piggyback, pivotaltrackR, pkggraph, plasmut, plnr, plotmm, posologyr, presize, primer, projections, pTITAN2, public.ctn0094data, purgeR, r2rtf, rAmCharts, rcoder, rddi, rdflib, RDML, recexcavAAR, REDCapExporter, regexPipes, RegParallel, reporter, responsePatterns, rethnicity, rex, rGhanaCensus, rio, riskmetric, rlang, rlc, rmapshaper, rolap, roperators, rrvgo, RSQLite, RTCGA, rtika, rwebstat, samplr, sassy, scoringutils, scpdata, SCpubr, sdtm.oak, segmentr, semptools, sentiment.ai, sfdep, sfo, sftime, shiny, shinymeta, simRestore, simstudy, SIPDIBGE, sjlabelled, snakecase, soql, sortable, SpaDES.core, sparrow, spork, spRingsteen, sr, srlTS, ssdtools, starsTileServer, sticky, stokes, summarytools, supernova, SVMMaj, table.glue, tables, TCGAutils, TCIU, tcpl, teal.code, teal.widgets, text2vec, tidydann, tidyfast, tidyselect, tidystringdist, TLMoments, topChef, transformr, TRMF, tTOlr, ttt, tvgeom, ugatsdb, unglue, units, valaddin, virtualPollen, whereami, winch, WoodSimulatR, workflows, workloopR, WRTDStidal, xml2, xplorerr, yamlet, zeallot, zinbwave","DOI":"10.32614/CRAN.package.magrittr"} {"Package":"MALDIquant","Version":"1.22.3","Depends":"R (>= 4.0.0), methods","Imports":"parallel","Suggests":"knitr, testthat (>= 0.8)","License":"GPL (>= 3)","MD5sum":"6fc718a13b57fd3aebb1091f07bce3d9","NeedsCompilation":"yes","Author":"Sebastian Gibb [aut, cre] (),\n Korbinian Strimmer [ths] (),\n Sigurdur Smarason [ctb],\n Laurent Gatto [ctb] (),\n Paolo Inglese [ctb]","Authors.R":"c(\n person(\n given = \"Sebastian\", family = \"Gibb\",\n email=\"mail@sebastiangibb.de\",\n comment=c(ORCID=\"0000-0001-7406-4443\"),\n role = c(\"aut\", \"cre\")\n ),\n person(\n given = \"Korbinian\", family = \"Strimmer\",\n comment=c(ORCID=\"0000-0001-7917-2056\"),\n role=\"ths\"\n ),\n person(given = \"Sigurdur\", family = \"Smarason\", role = \"ctb\"),\n person(\n given = \"Laurent\", family = \"Gatto\",\n email = \"laurent.gatto@uclouvain.be\",\n comment = c(ORCID = \"0000-0002-1520-2268\"),\n role = \"ctb\"\n ),\n person(given = \"Paolo\", family = \"Inglese\", role = \"ctb\"))","BugReports":"https://github.com/sgibb/MALDIquant/issues/","Date":"2024-08-19","Date.Publication":"2024-08-19 23:00:03 UTC","Description":"A complete analysis pipeline for matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) and other two-dimensional mass spectrometry data. In addition to commonly used plotting and processing methods it includes distinctive features, namely baseline subtraction methods such as morphological filters (TopHat) or the statistics-sensitive non-linear iterative peak-clipping algorithm (SNIP), peak alignment using warping functions, handling of replicated measurements as well as allowing spectra with different resolutions.","Encoding":"UTF-8","LazyLoad":"yes","Maintainer":"Sebastian Gibb ","Packaged":"2024-08-19 20:58:22 UTC; sebastian","Title":"Quantitative Analysis of Mass Spectrometry Data","URL":"https://strimmerlab.github.io/software/maldiquant/,\nhttps://github.com/sgibb/MALDIquant/","VignetteBuilder":"knitr","Published":"2024-08-19","Reverse.depends":"MALDIquantForeign, MALDIrppa, MGMS2, MSclassifR","Reverse.imports":"IsoCor, MALDIcellassay, maldipickr, MSnbase","Reverse.suggests":"RforProteomics, xcms","DOI":"10.32614/CRAN.package.MALDIquant"} {"Package":"MASS","Version":"7.3-61","Priority":"recommended","Depends":"R (>= 4.4.0), grDevices, graphics, stats, utils","Imports":"methods","Suggests":"lattice, nlme, nnet, survival","License":"GPL-2 | GPL-3","MD5sum":"0a2323f89b6230862768819171fc1bb3","NeedsCompilation":"yes","Author":"Brian Ripley [aut, cre, cph],\n Bill Venables [aut, cph],\n Douglas M. Bates [ctb],\n Kurt Hornik [trl] (partial port ca 1998),\n Albrecht Gebhardt [trl] (partial port ca 1998),\n David Firth [ctb] (support functions for polr)","Authors.R":"c(person(\"Brian\", \"Ripley\", role = c(\"aut\", \"cre\", \"cph\"),\n email = \"ripley@stats.ox.ac.uk\"),\n\t person(\"Bill\", \"Venables\", role = c(\"aut\", \"cph\")),\n\t person(c(\"Douglas\", \"M.\"), \"Bates\", role = \"ctb\"),\n\t person(\"Kurt\", \"Hornik\", role = \"trl\",\n comment = \"partial port ca 1998\"),\n\t person(\"Albrecht\", \"Gebhardt\", role = \"trl\",\n comment = \"partial port ca 1998\"),\n\t person(\"David\", \"Firth\", role = \"ctb\",\n\t comment = \"support functions for polr\"))","ByteCompile":"yes","Contact":"","Date":"2024-06-10","Date.Publication":"2024-06-13 10:23:32","Description":"Functions and datasets to support Venables and Ripley, \"Modern Applied Statistics with S\" (4th edition, 2002).","LazyData":"yes","Maintainer":"Brian Ripley ","Packaged":"2024-06-13 08:23:32 UTC; 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TeachingDemos, teal.modules.general, texmex, textir, textmineR, tgp, tidybulk, tidyrules, tidySEM, tipr, trajectories, trajr, tram, transmdl, tranSurv, tree, tree.interpreter, TreeDist, triangle, TriMatch, trinROC, truelies, TSCI, tTOlr, UBL, ufs, ui, urbin, UStatBookABSC, VGAM, vglmer, viridis, visreg, vivid, VsusP, walrus, WeightIt, WeightSVM, wflo, wingen, wrProteo, XDE, zfit, ztable","Reverse.enhances":"cornet, prediction, stargazer","DOI":"10.32614/CRAN.package.MASS"} {"Package":"Matrix","Version":"1.7-0","Priority":"recommended","Depends":"R (>= 4.4.0), methods","Imports":"grDevices, graphics, grid, lattice, stats, utils","Suggests":"MASS, datasets, sfsmisc, tools","Enhances":"SparseM, graph","License":"GPL (>= 2) | file LICENCE","MD5sum":"e7e8dbd1ae48476f0eef0a640c107901","NeedsCompilation":"yes","Author":"Douglas Bates [aut] (),\n Martin Maechler [aut, cre] (),\n Mikael Jagan [aut] (),\n Timothy A. Davis [ctb] (,\n SuiteSparse libraries, collaborators listed in\n dir(system.file(\"doc\", \"SuiteSparse\", package=\"Matrix\"),\n pattern=\"License\", full.names=TRUE, recursive=TRUE)),\n George Karypis [ctb] (, METIS\n library, Copyright: Regents of the University of Minnesota),\n Jason Riedy [ctb] (, GNU\n Octave's condest() and onenormest(), Copyright: Regents of the\n University of California),\n Jens Oehlschlaegel [ctb] (initial nearPD()),\n R Core Team [ctb] (base R's matrix implementation)","Authors.R":"\n\tc(person(\"Douglas\", \"Bates\", role = \"aut\",\n\t comment = c(ORCID = \"0000-0001-8316-9503\")),\n\t person(\"Martin\", \"Maechler\", role = c(\"aut\", \"cre\"),\n\t email = \"mmaechler+Matrix@gmail.com\",\n\t comment = c(ORCID = \"0000-0002-8685-9910\")),\n\t person(\"Mikael\", \"Jagan\", role = \"aut\",\n\t comment = c(ORCID = \"0000-0002-3542-2938\")),\n\t person(\"Timothy A.\", \"Davis\", role = \"ctb\",\n\t comment = c(ORCID = \"0000-0001-7614-6899\",\n\t \"SuiteSparse libraries\",\n\t \"collaborators listed in dir(system.file(\\\"doc\\\", \\\"SuiteSparse\\\", package=\\\"Matrix\\\"), pattern=\\\"License\\\", full.names=TRUE, recursive=TRUE)\")),\n\t person(\"George\", \"Karypis\", role = \"ctb\",\n\t comment = c(ORCID = \"0000-0003-2753-1437\",\n\t \"METIS library\",\n\t \"Copyright: Regents of the University of Minnesota\")),\n\t person(\"Jason\", \"Riedy\", role = \"ctb\",\n\t comment = c(ORCID = \"0000-0002-4345-4200\",\n\t \"GNU Octave's condest() and onenormest()\",\n\t \"Copyright: Regents of the University of California\")),\n\t person(\"Jens\", \"Oehlschlaegel\", role = \"ctb\",\n\t comment = \"initial nearPD()\"),\n\t person(\"R Core Team\", role = \"ctb\",\n\t comment = \"base R's matrix implementation\"))","BugReports":"https://R-forge.R-project.org/tracker/?atid=294&group_id=61","BuildResaveData":"no","Contact":"Matrix-authors@R-project.org","Date":"2024-03-16","Date.Publication":"2024-04-26 12:03:02 UTC","Description":"A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.","Encoding":"UTF-8","LazyData":"no","Maintainer":"Martin Maechler ","Packaged":"2024-03-19 17:15:14 UTC; maechler","Title":"Sparse and Dense Matrix Classes and Methods","URL":"https://Matrix.R-forge.R-project.org","Published":"2024-04-26","Reverse.depends":"absorber, adapt4pv, adaptMCMC, addhaz, ADDT, ahaz, arm, arules, arulesCBA, aster2, BayesFactor, bc3net, bgsmtr, biglasso, BinNonNor, BinNor, bioassayR, birankr, BiRewire, bolasso, Boptbd, Brobdingnag, BSW, BTLLasso, bvartools, cAIC4, Category, celda, centiserve, cgam, cjoint, climwin, clipper, CodataGS, conos, CopulaInference, covEB, cplm, CRTgeeDR, cthreshER, ctmcmove, curephEM, CVST, dcGSA, dclone, DelayedArray, dglars, dhglm, disordR, distrom, dmm, DNABarcodes, DoubleCone, DRR, DTRlearn2, DWDLargeR, eds, EMCluster, EMMREML, epoc, evalITR, EventPointer, evola, excursions, expectreg, expm, fanc, FAS, fastadi, fastRG, 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PhylogeneticEM, picasso, pleio, POINT, PoisBinNonNor, PoisBinOrd, PoisBinOrdNonNor, PoisBinOrdNor, PoisNonNor, PoisNor, PrevMap, PRISMA, ProbitSpatial, prodest, psqn, qlcMatrix, qpcR, QRM, quadrupen, QZ, ramps, randnet, rBMF, RCBR, RealVAMS, REBayes, recommenderlab, Rediscover, reglogit, RegSDC, RESET, RGE, RGENERATEPREC, RNewsflow, robustlmm, rsparse, rSPDE, rwc, S4Arrays, saeMSPE, sbw, SC.MEB, scITD, sdpt3r, sdwd, SEAGLE, sensory, serrsBayes, sglasso, sharpPen, SiPSiC, SKAT, SmallCountRounding, snpReady, snpStats, softImpute, sommer, soptdmaeA, SOR, SparseArray, SparseChol, sparseLRMatrix, sparsenet, sparsenetgls, sparsestep, spatialprobit, spatialreg, spatstat.sparse, speedglm, sRDA, SSBtools, sSDR, ssfa, stcos, sureLDA, survey, surveyvoi, svydiags, systemfit, TargetScore, text2map, textir, textmineR, textTinyR, tmvtnorm, TPEA, triversity, tsapp, tvReg, uwot, vagam, VAM, WaveSampling, WGScan, wordspace","Reverse.imports":"abess, abnormality, abtest, ACV, adaptsmoFMRI, adelie, ADImpute, adjclust, ADMM, aggregateBioVar, AGHmatrix, aghq, AGPRIS, agriutilities, AHM, ahMLE, AICcmodavg, alabaster.bumpy, alabaster.matrix, alakazam, albatross, altmeta, AMARETTO, amplican, ANCOMBC, animalcules, animalEKF, anndata, anticlust, apcluster, apdesign, aphylo, APL, applicable, ar.matrix, arc, archetypal, ArCo, argo, ARGOS, aricode, ASGSCA, ashr, ASICS, asnipe, ASRgenomics, ATACseqTFEA, atena, AUCell, audubon, autoMFA, AVGAS, backbone, bage, bamlss, bamm, BANAM, basefun, BASiCS, batchelor, BayesfMRI, BayesianFactorZoo, BayesianTools, Bayesiantreg, BayesLN, BayesNSGP, BayesS5, BayesSampling, BayesSpace, BayesSUR, bayesWatch, bayNorm, bbknnR, bbmle, BBSSL, BCA1SG, BCEA, bcSeq, beachmat, BEclear, benchmarkme, Bergm, BeSS, bestridge, BeviMed, BFF, BG2, BGmisc, BGVAR, bibliometrix, biblioverlap, biClassify, BiDAG, bigDM, bigergm, bigQF, BigQuic, bigsnpr, bigsparser, BinOrdNonNor, BiocNeighbors, BioCor, BiocSingular, biomformat, BioNAR, bioregion, biospear, biscuiteer, blapsr, blatent, blavaan, BlockCov, blockForest, BlockMissingData, blockmodeling, BLPestimatoR, bluster, bootnet, BOSSreg, brainGraph, brant, bravo, brglm2, bridgesampling, brms, bspcov, bsreg, btergm, BTYD, BumpyMatrix, BUSpaRse, bWGR, CAESAR.Suite, CAGEfightR, CAMML, cape, caracas, cardelino, Cardinal, cases, castor, CATALYST, catch, CatEncoders, CausalMBSTS, causalOT, ccfindR, ccImpute, CDatanet, CEGO, celaref, celldex, CelliD, cellpypes, cencrne, cepreader, CeTF, cgaim, ChainLadder, chihaya, chinese.misc, chords, ChromSCape, chromVAR, CIAAWconsensus, cicero, CIMICE, CiteFuse, cleanNLP, clevr, ClimMobTools, CliquePercolation, ClustAssess, clusterExperiment, ClusterFoldSimilarity, clustifyr, clustvarsel, CLVTools, cmaRs, cmR, CMShiny, cna, CNVScope, coalescentMCMC, coca, coda.base, codingMatrices, coglasso, CollocInfer, colorrepel, colourvision, comapr, comato, combi, COMBO, COMMA, CommKern, CompareCausalNetworks, complexplus, CompMix, Compositional, concordexR, conleyreg, conquer, conText, control, cope, copula, Corbi, corpustools, corral, corrMCT, corTest, CoSMoS, COTAN, cotram, countland, Countr, countsplit, countSTAR, CovCombR, covsim, CovTools, coxme, CR2, CRF, crisp, crisprDesign, CRMetrics, Crossover, crosstalkr, crqa, CRTspat, crumble, csaw, cSEM, csmpv, csurvey, ctrialsgov, ctsem, ctsemOMX, cvCovEst, CVXR, cxr, Cyclops, CytoGLMM, cytominer, CytoSimplex, DAISIE, DAMOCLES, dataPreparation, dbacf, dbcsp, dcanr, dce, DCLEAR, DDD, DDL, ddml, ddpca, ddtlcm, decompTumor2Sig, decontX, decoupleR, deepgp, deepNN, deepregression, DelayedMatrixStats, DelayedTensor, demic, DemoKin, demu, demuxmix, demuxSNP, denoiseR, denseFLMM, derfinderHelper, DEsingle, DESpace, destiny, DEsubs, detect, DHARMa, diagL1, DICEM, did, did2s, didimputation, DifferentialRegulation, diffudist, diffusionMap, diffuStats, DIFM, digitalDLSorteR, DImodelsMulti, dineR, Dino, dinoR, dipw, Dire, dirttee, DisaggregateTS, disaggregation, discfrail, distinct, diversityForest, DMRScan, DNAmixturesLite, DNMF, doBy, dplR, DR.SC, dr4pl, DRaWR, DrBats, dreamlet, drf, DropletUtils, DSAM, dsem, dst, dtwclust, dualScale, DWLasso, DYNATE, dyngen, dynr, dynutils, dynwrap, easySdcTable, eatATA, eBsc, eCAR, econet, EconGeo, economiccomplexity, ecpc, edmcr, EdSurvey, ef, EFAfactors, EFDR, EGAnet, ElliptCopulas, ELMER, EmbedSOM, EMC2, EMgaussian, enhancerHomologSearch, EnMCB, epca, Epi, EpiDISH, epigraHMM, epigrowthfit, epiregulon, epiregulon.extra, equateMultiple, erfe, ergm, ergm.multi, ergMargins, eRm, espadon, estimateW, estimators, eva, evclust, eventPred, EventPredInCure, evolqg, evolvability, EWCE, ExperimentSubset, ExtrPatt, ez, face, factReg, fad, FamAgg, fastcmprsk, fastcox, fastcpd, fastFMM, fastglmpca, FastImputation, fastkqr, fastLink, fastNaiveBayes, fastTopics, FAVAR, fbar, fcaR, fdaMocca, fdapace, fdarep, fdasrvf, FDboost, fdesigns, FeatureHashing, FELLA, FEprovideR, fGarch, fglsnet, fgsea, fiberLD, FieldSimR, file2meco, FindIt, FinNet, fishpond, FKSUM, FLAMES, flashier, FlexGAM, flexrsurv, flexsurv, flowGraph, fmcmc, fmesher, ForecastComb, foreSIGHT, ForestTools, fossilbrush, fPASS, frailtyEM, frechet, FRK, FSInteract, fssemR, funcharts, FuncNN, fundiversity, funrar, funStatTest, fuser, galamm, GALLO, gammi, GAprediction, gasmodel, gasper, gcbd, gcdnet, GDILM.SIR, GeDi, geeasy, geecure, geex, gemma2, gen3sis, GeneNMF, GeneralizedWendland, GENESIS, GENLIB, GENMETA, GeoAdjust, GeoDiff, GeomArchetypal, GeomComb, geommc, geostan, gespeR, gesso, getspanel, GFD, GFDmcv, GFisher, ggbrain, ggmix, GGMnonreg, ggsector, GHap, gibasa, gif, GillespieSSA2, gKRLS, gllvm, glmmLasso, glmmPen, glmmTMB, glmnetr, glmnetUtils, GLMpack, glmSparseNet, gMCP, gmfamm, GMMAT, gMOIP, gmtFD, gmwmx, gnm, goat, gofcat, goric, gpboost, gplite, gps, GPvecchia, GrabSVG, grandR, GRaNIE, graper, graph4lg, graphicalVAR, graphsim, gRbase, greed, grf, gRim, grpreg, GSALightning, gsbm, gslnls, GSVA, gTestsMulti, GUniFrac, gustave, GWAS.BAYES, gwid, gWQS, GWRLASSO, GWSDAT, hal9001, harmony, hbsae, HCD, HDCI, HDF5Array, hdf5r.Extra, heatmaps, hero, HERON, HeteroGGM, heteromixgm, HGC, HhP, HicAggR, HiCExperiment, HiContacts, hierarchicalSets, highriskzone, higrad, HIPPO, hIRT, historicalborrow, historicalborrowlong, HiTC, HLMdiag, hmmTMB, Hmsc, HonestDiD, hpfilter, hrqglas, hscovar, hspm, hsrecombi, hts, huge, HyperG, hypr, hySAINT, iAdapt, ib, iCARH, ICBioMark, icdGLM, iCellR, ICglm, IDE, IFAA, igraph, iGraphMatch, ILoReg, ILSM, IMAS, immcp, iMRMC, incidentally, infercnv, inferCSN, influence.ME, influenceR, INFOSET, INLABMA, inlabru, INLAjoint, intensitynet, InteractionPoweR, InteractionSet, IPCAPS, iPRISM, IPV, irtQ, IsingFit, isodistrreg, isokernel, iTOP, IVAS, ivmodel, jewel, JICO, joineRML, jrSiCKLSNMF, kanjistat, Karen, kcmeans, kebabs, keyATM, kgraph, KinMixLite, kknn, klic, knn.covertree, knockoff, koRpus, ks, L0Learn, l1spectral, L2E, LACE, landsepi, LassoBacktracking, latentcor, latentFactoR, lavaSearch2, LDABiplots, ldblock, leakyIV, leastcostpath, lefko3, leiden, lemur, lgcp, lightgbm, lime, lineartestr, lmds, LMERConvenienceFunctions, lmeresampler, lmfor, LMMsolver, LMMstar, LocKer, locStra, logbin, logistf, lognorm, lolog, LoomExperiment, lpcde, lsbs, LSX, ltmle, ludic, lvnet, M3C, M3Drop, MachineShop, madness, madrat, MAGEE, magpie, makemyprior, manifold, MANOVA.RM, maotai, mapfit, marcher, marked, markovchain, martini, MARVEL, MAST, mastR, MatrixModels, matrixset, matsbyname, MBECS, mbkmeans, mboost, mbr, mbsts, MCARtest, MCMCprecision, mcmcsae, mcompanion, mdatools, mdw, medflex, MEGENA, MendelianRandomization, merDeriv, merTools, MESS, metaBLUE, metafuse, metagear, metagenomeSeq, MetaHD, metaMS, MetaNeighbor, metanetwork, MetaScope, metaSDTreg, metaSEM, metaseqR2, MethodCompare, MethReg, MetID, MetricGraph, metrix, mfaces, MFPCA, mgcv, MGDrivE2, mglasso, mgss, micemd, microbiomeDASim, MicrobiomeStat, midasr, MIIPW, MIIVsem, miloR, MiRKAT, miRNAss, mirt, misclassGLM, missCompare, missSBM, mistral, mixedCCA, MixedPsy, MixfMRI, mixgb, mixhvg, mixKernel, MJMbamlss, mlapi, mlergm, mlfit, MLGL, mlmi, mlmm.gwas, mlmts, MLMusingR, mlt, mltools, MM4LMM, mme, MMeM, mmmgee, mmrm, mnda, ModelMatrixModel, modgo, modnets, MoleculeExperiment, mombf, MonteCarloSEM, Morpho, mosaic, mosaicCalc, MoTBFs, motifcluster, motifmatchr, moult, movecost, mppR, MRFcov, MRTSampleSizeBinary, msaenet, MSclust, msqrob2, mstDIF, MTAR, MuChPoint, multiAssetOptions, MultiBaC, multibiplotGUI, multiFANOVA, MultiKink, multimark, multiness, multinma, MultiStatM, multivar, multivarious, MultiVarMI, multiview, MuMIn, mumosa, muscat, musicatk, mvgam, mvord, mvpd, mvrsquared, mvSLOUCH, NAIR, natural, nda, ndi, nebula, Nebulosa, net4pg, netCoin, netcom, netcontrol, netdiffuseR, netgsa, netgwas, NetMix, netprioR, netrankr, netregR, netseer, netShiny, netSmooth, nett, NetworkComparisonTest, NetworkDistance, networkR, NetworkReg, networktree, netZooR, neuroim, newsmap, NewWave, nlmixr2est, nlmm, nlpsem, nlraa, nmathresh, nmslibR, nnSVG, nonlinearTseries, NonProbEst, nonprobsvy, nopaco, npmr, NSAE, nutriNetwork, NVCSSL, nvmix, ocf, oem, omicsViewer, ompr, ompr.roi, ondisc, onion, oosse, OpenMx, oppr, optBiomarker, OptimalDesign, optiSel, optiSolve, optweight, opusminer, OrdCD, ordgam, ordinal, ORKM, orthogene, oscar, osqp, palasso, PanCanVarSel, PanelMatch, panelvar, pareg, parglm, PartCensReg, PartialNetwork, parTimeROC, PBImisc, pbkrtest, PCADSC, PCAtools, pcgen, PCGII, pcts, pdynmc, pedigreeTools, Pedixplorer, pedtricks, PEIP, penAFT, pencal, PenCoxFrail, PenIC, pensynth, PEPBVS, PepsNMR, perARMA, PerFit, permubiome, permuco, Petersen, pez, PFIM, phangorn, phantasus, pheble, PhenoGeneRanker, phia, phm, phyloregion, phyr, piar, pipeComp, piqp, pkggraph, PlackettLuce, planningML, plantTracker, plasso, PLmixed, PLNmodels, podkat, poismf, polmineR, polycor, polyhedralCubature, polyMatrix, polywog, pomdp, poolfstat, porridge, ppmSuite, PQLseq, pre, PRECAST, predictmeans, PRIMAL, primePCA, PRIMME, prioriactions, prioritizr, ProcMod, ProFAST, profoc, projectR, PROreg, provGraphR, proxyC, prozor, PRSPGx, psborrow2, PSMatch, pspatreg, psychonetrics, PUGMM, PUlasso, pulsar, PureCN, pvca, pvclass, pwlmm, qape, qgraph, qpgraph, qrjoint, qtkit, qtlpoly, Qtools, quanteda, quanteda.textmodels, quanteda.textplots, quanteda.textstats, quantkriging, quantreg, QUBIC, quid, Qval, r2glmm, R2MLwiN, RaceID, raer, RaggedExperiment, RAINBOWR, randomLCA, ranger, raptr, rare, rbi.helpers, rbmi, rbridge, RcppBlaze, RcppML, rdomains, readsparse, recipes, recometrics, reconsi, recount3, ReDaMoR, reformulas, refund, registr, regmedint, ReMFPCA, remiod, REndo, Renvlp, repolr, ResidualMatrix, ResIN, ResourceSelection, RestoreNet, retel, reticulate, RevEcoR, RGF, RHPCBenchmark, rhype, Riemann, riskclustr, RiskMap, riskParityPortfolio, RKEEL, RLassoCox, rliger, Rlinsolve, rmatio, rmgarch, RMLPCA, Rmodule, RMThreshold, rMultiNet, rNeighborGWAS, rNeighborQTL, RNGforGPD, Rnmr1D, rnndescent, robin, RobKF, robustbetareg, RobustIV, robustreg, robustsur, ROCnReg, rodd, ROI.plugin.ecos, ROI.plugin.osqp, RPANDA, rPanglaoDB, Rphylopars, rpql, rqPen, rr2, rrMixture, RRPP, RSC, rsetse, RSiena, rsmatch, rsmatrix, RSpectra, rsq, RSSL, rstanarm, Rsubread, Rsurrogate, rsvd, rTensor2, RTMB, Rwclust, rWishart, saeRobust, SAIGEgds, SALES, samc, sanic, SAR, sarsop, sasfunclust, satuRn, SAVER, sbfc, ScaledMatrix, scalpel, scam, scanMiRApp, SCArray, SCArray.sat, scATAC.Explorer, scater, scBFA, scBSP, scCATCH, scCB2, scClassify, sccore, scCustomize, scDblFinder, SCdeconR, scDesign3, scDHA, scds, SCFA, SCGLR, scGOclust, scHOT, SCIntRuler, scMET, SCORNET, SCORPION, SCORPIUS, scPCA, scpi, scPipe, scpoisson, scran, scRecover, ScreenClean, scRNAseq, scRNAstat, scry, scShapes, scTenifoldKnk, scTenifoldNet, sctransform, scTreeViz, scUtils, scuttle, sdcTable, sdmTMB, SDPDmod, sdpdth, seededlda, semfindr, semnova, seqArchR, seqHMM, SeqVarTools, SEset, SEtools, Seurat, SeuratObject, sgs, shapr, sharpr2, SID, Sie2nts, sigFeature, SightabilityModel, Signac, SignacX, signatureSearch, signnet, silp, SimBu, simcausal, SimCorrMix, simdata, simer, simExam, SimInf, SIMle, SIMLR, SimMultiCorrData, simPIC, simplifyEnrichment, simplifyNet, SimplyAgree, SingleCellAlleleExperiment, singleCellHaystack, SingleCellMultiModal, singleCellTK, SingleR, SIRE, sirus, SISIR, skedastic, sklarsomega, slanter, SLBDD, slimrec, SLOPE, SLTCA, smallstuff, smam, smartid, SmCCNet, smile, SMNCensReg, smoothedLasso, SmoothTensor, smurf, snapcount, sNPLS, soc.ca, SOMNiBUS, SoupX, SpaceMarkers, SpaceTimeBSS, SpaCOAP, spaMM, spANOVA, sparrow, sparseCov, sparseDFM, sparseFLMM, sparsegl, sparseHessianFD, sparseinv, sparseMatrixStats, sparseMVN, sparsesvd, sparsevar, sparsio, SPAS, spatgraphs, SpatialDDLS, spatialDE, SpatialDecon, SpatialFeatureExperiment, SpatialGEV, spatialHeatmap, spatialLIBD, spatstat.data, spatstat.explore, spatstat.Knet, spatstat.linnet, spatstat.model, spatsurv, spBayes, SPCompute, speakeasyR, SPECK, spectralGraphTopology, SpectralTAD, spGARCH, sphet, SpiceFP, spldv, SplitKnockoff, splm, spmodel, spmoran, spoon, SpotClean, SPOTlight, spreadr, SPSP, spsur, squeezy, SRTsim, ssMRCD, ssMutPA, SSN2, StableEstim, stabm, stan4bart, starm, starnet, statcomp, statgenHTP, statgenIBD, statgenMPP, STB, STdeconvolve, stelfi, SteppedPower, stfit, stm, stocc, stR, strand, STREAK, sts, stylest2, SubcellularSpatialData, SubgrpID, success, sumFREGAT, SummarizedExperiment, SUMMER, superbiclust, SuperCell, surbayes, surrosurv, surveillance, survival, survivalsvm, susieR, svrep, svs, svylme, symphony, synlik, SystemicR, syt, tabnet, TADCompare, TAG, TANDEM, TangledFeatures, TCA, tcl, tea, templateICAr, tensorTS, TENxIO, text2vec, TextForecast, textplot, textrecipes, TFisher, tglkmeans, THREC, tidybulk, tidylda, tidySEM, tidyseurat, tidySingleCellExperiment, tidySpatialExperiment, tidytext, TKCat, TMB, TMExplorer, TML, TOHM, TooManyCellsR, topdownr, topicmodels.etm, TopicScore, TopKSignal, TraceAssist, tradeSeq, TrajectoryUtils, tram, tramME, transforEmotion, transformGamPoi, TransTGGM, treeDA, TREG, TRESS, TRMF, TropFishR, trustOptim, TSCAN, tscopula, TSdisaggregation, tsDyn, tseriesTARMA, tsrobprep, TSsmoothing, TTCA, ttservice, tukeytrend, TULIP, tvR, tximeta, ubms, UCell, udpipe, ui, umap, umx, ungroup, unmarked, useful, uSORT, varbvs, variancePartition, VariantTools, varjmcm, varTestnlme, VBJM, VCA, VDJdive, VeccTMVN, velociraptor, veloviz, vglmer, Vicus, visa, visaOTR, ViSiElse, voi, votesys, Voyager, vrnmf, vsmi, vsp, wactor, WaverideR, waydown, waywiser, wdnet, WeMix, wfe, widyr, winputall, WLogit, WoodburyMatrix, wordmap, wppi, WpProj, xcore, xgboost, xLLiM, xrf, xxdi, yamss, ycevo, zellkonverter, zinbwave, ZIPFA","Reverse.linking.to":"ahMLE, bayesWatch, bcSeq, cplm, GeneralizedWendland, geostatsp, hibayes, irlba, lme4, mcmcsae, OpenMx, PRIMME, PUlasso, robustlmm, spGARCH, TMB","Reverse.suggests":"abclass, abn, afex, AgreementInterval, alabaster.base, alkahest, alphastable, autostats, beachmat.hdf5, biotmle, BloodCancerMultiOmics2017, brokenstick, brolgar, broom.mixed, bsseq, CalibrationCurves, car, caret, cccd, CHETAH, ChoiceModelR, ciccr, CLA, clarabel, classGraph, clubSandwich, cluster, cmfrec, cobs, combinIT, conflicted, corrgram, cpr, cvwrapr, DAPAR, DelayedRandomArray, diffHic, dimRed, discSurv, DoE.MIParray, DPQmpfr, drape, DWLS, dyndimred, e1071, ECOSolveR, edgeR, EIX, ePCR, eyetrackingR, fabletools, fabR, fdaconcur, flacco, flowml, ForIT, FSelectorRcpp, gap, gcKrig, GDINA, gdsfmt, gear, gemtc, GenomicRanges, genscore, gets, ggeffects, ggsc, glmGamPoi, glmpca, gmodels, GPUmatrix, grafify, h2o, h2o4gpu, hamlet, hardhat, hdi, HiCDCPlus, hmclearn, HSAUR, HSAUR2, hydra, IHW, insight, ivdesign, ivmte, KFAS, konfound, lava, lda, lfactors, LiblineaR, literanger, lmeInfo, LncPath, lotri, MatrixGenerics, matsindf, mefa, mfpp, miceadds, microbiomeMarker, mildsvm, mimager, misty, mlr3, mlt.docreg, MoBPS, MOCHA, MOFA2, MsCoreUtils, muscData, naivebayes, NCmisc, neat, netmediate, norMmix, OPWeight, parameters, parsnip, pcalg, pcFactorStan, pdp, performance, pmml, psborrow, QFeatures, R.matlab, r2mlm, rARPACK, rattle, RcppArmadillo, RcppEigen, RCTS, recosystem, rgraph6, rmumps, robustbase, robustvarComp, rope, round, rstan, rxode2, Ryacas, Ryacas0, S4Vectors, sageR, sca, scaeData, scGPS, SCIBER, scMerge, scMultiome, SCpubr, scs, sf, sfsmisc, simona, SIMplyBee, simstudy, SimSurvNMarker, simtrial, SingleCellExperiment, sirt, SNPRelate, spam, sparsevctrs, spatialEco, spdep, srvyr, stabledist, StanHeaders, statnet.common, STPGA, tableone, TAPseq, tern.mmrm, tiledb, TileDBArray, TOAST, tramnet, treestats, triplesmatch, tscount, tximport, visreg, WeightSVM, xcoredata, xrnet, zenplots","Reverse.enhances":"coop, isotree, Rcplex, Rcsdp, Rsymphony, rviewgraph, skmeans, slam","DOI":"10.32614/CRAN.package.Matrix"} {"Package":"mbbefd","Version":"0.8.11","Depends":"R (>= 3.6), fitdistrplus (>= 1.1-4), alabama, Rcpp (>=\n0.12.18)","Imports":"utils, actuar, gsl, MASS","LinkingTo":"Rcpp","Suggests":"testthat, pander, rmarkdown, knitr, lattice","License":"GPL-2","MD5sum":"d46989bf4255bf6d7b56daa54374106b","NeedsCompilation":"yes","Author":"Christophe Dutang [aut, cre] (),\n Giorgio Spedicato [aut] (),\n Markus Gesmann [ctb]","Authors.R":"c(\n person(\"Christophe\", \"Dutang\", role = c(\"aut\", \"cre\"), email = \"dutangc@gmail.com\", comment = c(ORCID = \"0000-0001-6732-1501\")),\n person(\"Giorgio\", \"Spedicato\", role = \"aut\", email = \"spedicato_giorgio@yahoo.it\", comment = c(ORCID = \"0000-0002-0315-8888\")),\n person(\"Markus\", \"Gesmann\", role = \"ctb\", email = \"markus.gesmann@gmail.com\"))","BugReports":"https://github.com/spedygiorgio/mbbefd/issues","ByteCompile":"yes","Date.Publication":"2023-08-28 22:00:03 UTC","Description":"Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignette shows code snippets to fit the distribution to empirical data. See, e.g., Bernegger (1997) freely available on-line.","Maintainer":"Christophe Dutang ","Packaged":"2023-08-28 19:55:49 UTC; dutang","SystemRequirements":"GNU make","Title":"Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling","Type":"Package","URL":"https://github.com/spedygiorgio/mbbefd","VignetteBuilder":"knitr","Published":"2023-08-28","DOI":"10.32614/CRAN.package.mbbefd"} {"Package":"mgcv","Version":"1.9-1","Priority":"recommended","Depends":"R (>= 3.6.0), nlme (>= 3.1-64)","Imports":"methods, stats, graphics, Matrix, splines, utils","Suggests":"parallel, survival, MASS","License":"GPL (>= 2)","MD5sum":"458c552f0fd41c12cdddbc5af6bf1fca","NeedsCompilation":"yes","Author":"Simon Wood ","ByteCompile":"yes","Date.Publication":"2023-12-21 00:30:02 UTC","Description":"Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family. 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(2017) ). The aim of this tool is to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest (Drost et al. (2016) ).","Maintainer":"Hajk-Georg Drost ","Packaged":"2021-02-23 22:49:22 UTC; hdrost","SystemRequirements":"C++11","Title":"Evolutionary Transcriptomics","Type":"Package","URL":"https://github.com/drostlab/myTAI","VignetteBuilder":"knitr","Published":"2021-02-24","DOI":"10.32614/CRAN.package.myTAI"} {"Package":"networkD3","Version":"0.4","Depends":"R (>= 3.0.0)","Imports":"htmlwidgets (>= 0.3.2), igraph, magrittr","Suggests":"htmltools (>= 0.2.6), jsonlite,","Enhances":"knitr, shiny","License":"GPL (>= 3)","MD5sum":"dad3befe0a77dd04c72704eb95fb3d45","NeedsCompilation":"no","Author":"J.J. Allaire [aut],\n Peter Ellis [ctb],\n Christopher Gandrud [aut, cre],\n Kevin Kuo [ctb],\n B.W. 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Combine multiple keywords with logical operators ('and', 'or'), view detailed information on any package and keep track of the latest package contributions to CRAN. If you don't want to search from the R console, use the comfortable R Studio add-in.","Encoding":"UTF-8","Maintainer":"Joachim Zuckarelli ","Packaged":"2023-08-07 20:54:42 UTC; zucka","Title":"Comfortable Search for R Packages on CRAN, Either Directly from the R Console or with an R Studio Add-in","Type":"Package","URL":"https://github.com/jsugarelli/packagefinder/,\nhttp://www.zuckarelli.de/packagefinder/tutorial.html,\nhttps://youtu.be/B96NMSo3nJI","Published":"2023-08-08","DOI":"10.32614/CRAN.package.packagefinder"} {"Package":"pacman","Version":"0.5.1","Depends":"R (>= 3.5.0)","Imports":"remotes, methods, stats, utils","Suggests":"BiocManager, knitr, lattice, testthat (>= 0.9.0), XML","License":"GPL-2","MD5sum":"ae1487e337cf35ebee5d00a746b22360","NeedsCompilation":"no","Author":"Tyler Rinker [aut, cre, ctb],\n Dason Kurkiewicz [aut, ctb],\n Keith Hughitt [ctb],\n Albert Wang [ctb],\n Garrick Aden-Buie [ctb],\n Albert Wang [ctb],\n Lukas Burk [ctb]","Authors.R":"c(person(\"Tyler\", \"Rinker\", role = c(\"aut\", \"cre\", \"ctb\"),\n email = \"tyler.rinker@gmail.com\"), person(\"Dason\",\n \"Kurkiewicz\", role = c(\"aut\", \"ctb\"), email =\n \"dasonk@gmail.com\"), person(\"Keith\", \"Hughitt\", role =\n c(\"ctb\")), person(\"Albert\", \"Wang\", role = c(\"ctb\")),\n person(\"Garrick\", \"Aden-Buie\", role = c(\"ctb\")),\n person(\"Albert\", \"Wang\", role = c(\"ctb\")),\n person(\"Lukas\", \"Burk\", role = c(\"ctb\")))","BugReports":"https://github.com/trinker/pacman/issues?state=open","Date.Publication":"2019-03-11 11:50:07 UTC","Description":"Tools to more conveniently perform tasks associated with add-on packages. pacman conveniently wraps library and package related functions and names them in an intuitive and consistent fashion. It seeks to combine functionality from lower level functions which can speed up workflow.","Maintainer":"Tyler Rinker ","Packaged":"2019-03-11 01:37:03 UTC; trinker","Title":"Package Management Tool","Type":"Package","URL":"https://github.com/trinker/pacman","Published":"2019-03-11","Reverse.depends":"cpop, ggraptR","Reverse.imports":"currr, eclust, ERP, rcssci, TidyConsultant","Reverse.suggests":"baseballr, BINtools, bruceR, crops, detrendr, exampletestr, healthyR, ijtiff, k5, kidsides, languageserver, lehdr, miceFast, nandb, repana, RWsearch, UCSCXenaShiny","Reverse.enhances":"flowr","DOI":"10.32614/CRAN.package.pacman"} {"Package":"pdfsearch","Version":"0.3.0","Depends":"R (>= 3.3.0)","Imports":"pdftools, tibble, tokenizers, stringi","Suggests":"shiny, testthat, knitr, rmarkdown","License":"MIT + file LICENSE","MD5sum":"915ceb0f6ba4f7d2c94f2af6e44f7286","NeedsCompilation":"no","Author":"Brandon LeBeau [aut, cre]","Authors.R":"person(\"Brandon\", \"LeBeau\", email = \"lebebr01+pdfsearch@gmail.com\",\n role = c(\"aut\", \"cre\"))","BugReports":"https://github.com/lebebr01/pdfsearch/issues","Date.Publication":"2019-01-09 19:30:08 UTC","Description":"Includes functions for keyword search of pdf files. There is also a wrapper that includes searching of all files within a single directory.","Encoding":"UTF-8","Maintainer":"Brandon LeBeau ","Packaged":"2019-01-09 19:08:00 UTC; lebeb","Title":"Search Tools for PDF Files","Type":"Package","URL":"https://github.com/lebebr01/pdfsearch","VignetteBuilder":"knitr","Published":"2019-01-09","DOI":"10.32614/CRAN.package.pdfsearch"} {"Package":"PredictionR","Version":"1.0-12","Imports":"stats, fitdistrplus, Renext","Suggests":"actuar, tolerance","License":"GPL (>= 2)","MD5sum":"926d97dd7f8255a3a3d0b5765b902c00","NeedsCompilation":"no","Author":"H. M. Barakat [aut],\n O. M. Khaled [aut],\n Hadeer A. Ghonem [aut, cre]","Authors.R":"c(person(\"H. \", \"M. Barakat\", role = c(\"aut\"), email = \"hbarakat2@hotmail.com\"), person(\"O. \", \"M. Khaled\", role = c(\"aut\"), email = \"osam87@yahoo.com\"), person(\"Hadeer \", \"A. Ghonem\", role = c(\"aut\", \"cre\"), email = \"hadeer_ghonem15@yahoo.com\"))","Date.Publication":"2020-02-19 12:50:05 UTC","Description":"Functions to get prediction intervals and prediction points of future observations from any continuous distribution.","LazyData":"TRUE","Maintainer":"Hadeer A. Ghonem ","Packaged":"2020-02-19 12:30:29 UTC; USER","Title":"Prediction for Future Data from any Continuous Distribution","Published":"2020-02-19","DOI":"10.32614/CRAN.package.PredictionR"} {"Package":"qmap","Version":"1.0-4","Depends":"R (>= 2.8.0), fitdistrplus","License":"GPL (>= 2)","MD5sum":"70ce6f55142b458c61256598a922c038","NeedsCompilation":"no","Author":"Lukas Gudmundsson","Date":"2016-05-03","Date.Publication":"2016-05-03 11:03:19","Description":"Empirical adjustment of the distribution of variables originating from (regional) climate model simulations using quantile mapping.","LazyLoad":"yes","Maintainer":"Lukas Gudmundsson ","Packaged":"2016-05-03 07:48:19 UTC; lukasgu","Title":"Statistical Transformations for Post-Processing Climate Model Output","Type":"Package","Published":"2016-05-03","Reverse.depends":"CSTools","Reverse.imports":"musica, reddPrec","Reverse.suggests":"fitteR","DOI":"10.32614/CRAN.package.qmap"} {"Package":"RcppHMM","Version":"1.2.2","Imports":"Rcpp (>= 0.12.6)","LinkingTo":"Rcpp, RcppArmadillo","License":"GPL (>= 2)","MD5sum":"b28524c50823cc46136959cba656bbbe","NeedsCompilation":"yes","Author":"Roberto A. Cardenas-Ovando, Julieta Noguez and Claudia Rangel-Escareno","Date":"2017-11-21","Date.Publication":"2017-11-21 19:27:14 UTC","Description":"Collection of functions to evaluate sequences, decode hidden states and estimate parameters from a single or multiple sequences of a discrete time Hidden Markov Model. The observed values can be modeled by a multinomial distribution for categorical/labeled emissions, a mixture of Gaussians for continuous data and also a mixture of Poissons for discrete values. It includes functions for random initialization, simulation, backward or forward sequence evaluation, Viterbi or forward-backward decoding and parameter estimation using an Expectation-Maximization approach.","Maintainer":"Roberto A. Cardenas-Ovando ","Packaged":"2017-11-21 19:02:00 UTC; Dell","SystemRequirements":"C++11","Title":"Rcpp Hidden Markov Model","Type":"Package","Published":"2017-11-21","Reverse.suggests":"nullranges","DOI":"10.32614/CRAN.package.RcppHMM"} {"Package":"RcppHNSW","Version":"0.6.0","Imports":"methods, Rcpp (>= 0.11.3)","LinkingTo":"Rcpp","Suggests":"covr, testthat","License":"GPL (>= 3)","MD5sum":"80b093e0f221d6aebcc9b17d090df4ae","NeedsCompilation":"yes","Author":"James Melville [aut, cre, cph],\n Aaron Lun [ctb],\n Samuel Granjeaud [ctb],\n Dmitriy Selivanov [ctb],\n Yuxing Liao [ctb]","Authors.R":"c(\n person(\"James\", \"Melville\", , \"jlmelville@gmail.com\", role = c(\"aut\", \"cre\", \"cph\")),\n person(\"Aaron\", \"Lun\", role = \"ctb\"),\n person(\"Samuel\", \"Granjeaud\", role = \"ctb\"),\n person(\"Dmitriy\", \"Selivanov\", role = \"ctb\"),\n person(\"Yuxing\", \"Liao\", role = \"ctb\")\n )","BugReports":"https://github.com/jlmelville/rcpphnsw/issues","Date.Publication":"2024-02-04 05:40:02 UTC","Description":"'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R interface by relying on the 'Rcpp' package. See for more on 'hnswlib'. 'hnswlib' is released under Version 2.0 of the Apache License.","Encoding":"UTF-8","Maintainer":"James Melville ","Packaged":"2024-02-04 03:54:54 UTC; jlmel","Title":"'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors","URL":"https://github.com/jlmelville/rcpphnsw","Published":"2024-02-04","Reverse.imports":"destiny, Seurat","Reverse.linking.to":"BiocNeighbors","Reverse.suggests":"BiocNeighbors, uwot","DOI":"10.32614/CRAN.package.RcppHNSW"} {"Package":"renpow","Version":"0.1-1","Depends":"R (>= 2.10)","License":"GPL (>= 2)","MD5sum":"9083487e756e745bd8319ebc0e11eff0","NeedsCompilation":"no","Author":"Miguel F. Acevedo","Date":"2018-05-09","Date.Publication":"2018-05-16 14:01:38 UTC","Description":"Supports calculations and visualization for renewable power systems and the environment. Analysis and graphical tools for DC and AC circuits and their use in electric power systems. Analysis and graphical tools for thermodynamic cycles and heat engines, supporting efficiency calculations in coal-fired power plants, gas-fired power plants. Calculations of carbon emissions and atmospheric CO2 dynamics. Analysis of power flow and demand for the grid, as well as power models for microgrids and off-grid systems. Provides resource and power generation for hydro power, wind power, and solar power. ","LazyData":"true","Maintainer":"Miguel F. Acevedo ","Packaged":"2018-05-14 22:37:46 UTC; acevedo","Title":"Renewable Power Systems and the Environment","Type":"Package","URL":"https://www.r-project.org/","Published":"2018-05-16","DOI":"10.32614/CRAN.package.renpow"} {"Package":"RobExtremes","Version":"1.3.1","Depends":"R(>= 3.4), methods, distrMod(>= 2.8.0), ROptEst(>= 1.2.0),\nrobustbase, evd","Imports":"RobAStRDA, distr, distrEx(>= 2.8.0), RandVar, RobAStBase(>=\n1.2.0), startupmsg, actuar","Suggests":"RUnit(>= 0.4.26), ismev(>= 1.39)","Enhances":"fitdistrplus(>= 1.0-9)","License":"LGPL-3","MD5sum":"aa90e2c4d065cf3a9f4e0ae8b20f1e88","NeedsCompilation":"yes","Author":"Nataliya Horbenko [aut, cph],\n Bernhard Spangl [ctb] (contributed smoothed grid values of the Lagrange\n multipliers),\n Sascha Desmettre [ctb] (contributed smoothed grid values of the\n Lagrange multipliers),\n Eugen Massini [ctb] (contributed an interactive smoothing routine for\n smoothing the Lagrange multipliers and smoothed grid values of the\n Lagrange multipliers),\n Daria Pupashenko [ctb] (contributed MDE-estimation for GEV distribution\n in the framework of her PhD thesis 2011--14),\n Gerald Kroisandt [ctb] (contributed testing routines),\n Matthias Kohl [aut, cph] (),\n Peter Ruckdeschel [cre, aut, cph]\n ()","Authors.R":"c(person(\"Nataliya\", \"Horbenko\", role=c(\"aut\",\"cph\")), person(\"Bernhard\", \"Spangl\",\n role=\"ctb\", comment=\"contributed smoothed grid values of the Lagrange\n multipliers\"), person(\"Sascha\", \"Desmettre\", role=\"ctb\", comment=\"contributed\n smoothed grid values of the Lagrange multipliers\"), person(\"Eugen\", \"Massini\",\n role=\"ctb\", comment=\"contributed an interactive smoothing routine for smoothing\n the Lagrange multipliers and smoothed grid values of the Lagrange multipliers\"),\n person(\"Daria\", \"Pupashenko\", role=\"ctb\", comment=\"contributed MDE-estimation for\n GEV distribution in the framework of her PhD thesis 2011--14\"), person(\"Gerald\",\n \"Kroisandt\", role=\"ctb\", comment=\"contributed testing routines\"),\n person(\"Matthias\", \"Kohl\", role=c(\"aut\", \"cph\"), comment = c(ORCID =\n \"0000-0001-9514-8910\")), person(\"Peter\", \"Ruckdeschel\", role=c(\"cre\", \"aut\",\n \"cph\"), email=\"peter.ruckdeschel@uni-oldenburg.de\", comment = c(ORCID =\n \"0000-0001-7815-4809\")))","ByteCompile":"yes","Date":"2024-09-04","Date.Publication":"2024-09-04 15:20:02 UTC","Description":"Optimally robust estimation for extreme value distributions using S4 classes and methods (based on packages 'distr', 'distrEx', 'distrMod', 'RobAStBase', and 'ROptEst'); the underlying theoretic results can be found in Ruckdeschel and Horbenko, (2013 and 2012), \\doi{10.1080/02331888.2011.628022} and \\doi{10.1007/s00184-011-0366-4}.","Encoding":"UTF-8","LazyLoad":"yes","Maintainer":"Peter Ruckdeschel ","Packaged":"2024-09-04 14:26:23 UTC; ruckdesc","Title":"Optimally Robust Estimation for Extreme Value Distributions","URL":"https://r-forge.r-project.org/projects/robast/","Published":"2024-09-04","Reverse.enhances":"distrMod","DOI":"10.32614/CRAN.package.RobExtremes"} {"Package":"robmixglm","Version":"1.2-3","Depends":"R(>= 3.2.0)","Imports":"fastGHQuad, stats, bbmle, VGAM, actuar, Rcpp (>= 0.12.15),\nmethods, boot, numDeriv, parallel, doParallel, foreach, doRNG,\nMASS","LinkingTo":"Rcpp","Suggests":"R.rsp, robustbase, lattice, forward","License":"GPL (>= 2)","MD5sum":"373c367ddf47043ac9bea88fb0216c31","NeedsCompilation":"yes","Author":"Ken Beath [aut, cre]","Authors.R":"c(person(\"Ken\",\"Beath\",email=\"ken@kjbeath.com.au\", role=c(\"aut\",\"cre\")))","Contact":"Ken Beath ","Date":"2022-05-08","Date.Publication":"2022-05-09 09:00:02 UTC","Description":"Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) . This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.","LazyData":"yes","LazyLoad":"yes","Maintainer":"Ken Beath ","Packaged":"2022-05-09 05:49:03 UTC; kjbeath1","Title":"Robust Generalized Linear Models (GLM) using Mixtures","Type":"Package","VignetteBuilder":"R.rsp","Published":"2022-05-09","DOI":"10.32614/CRAN.package.robmixglm"} {"Package":"rpart","Version":"4.1.23","Priority":"recommended","Depends":"R (>= 2.15.0), graphics, stats, grDevices","Suggests":"survival","License":"GPL-2 | GPL-3","MD5sum":"3edb60e43c90b773588469edebc22596","NeedsCompilation":"yes","Author":"Terry Therneau [aut],\n Beth Atkinson [aut, cre],\n Brian Ripley [trl] (producer of the initial R port, maintainer\n 1999-2017)","Authors.R":"c(person(\"Terry\", \"Therneau\", role = \"aut\",\n\t email = \"therneau@mayo.edu\"),\n person(\"Beth\", \"Atkinson\", role = c(\"aut\", \"cre\"),\n\t email = \"atkinson@mayo.edu\"),\n person(\"Brian\", \"Ripley\", role = \"trl\",\n email = \"ripley@stats.ox.ac.uk\",\n\t\t comment = \"producer of the initial R port, maintainer 1999-2017\"))","BugReports":"https://github.com/bethatkinson/rpart/issues","ByteCompile":"yes","Date":"2023-12-04","Date.Publication":"2023-12-05 22:10:02 UTC","Description":"Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.","LazyData":"yes","Maintainer":"Beth Atkinson ","Packaged":"2023-12-05 16:26:54 UTC; atkinson","Title":"Recursive Partitioning and Regression Trees","URL":"https://github.com/bethatkinson/rpart,\nhttps://cran.r-project.org/package=rpart","Published":"2023-12-05","Reverse.depends":"ada, adabag, AntAngioCOOL, chemometrics, DidacticBoost, gamlss.add, GENEAclassify, GPLTR, iBST, jlctree, LearnPCA, LongCART, longRPart2, maptree, metacart, MplusTrees, MTPS, PSAgraphics, quint, RbcBook1, REEMtree, regclass, rpart.LAD, rpart.plot, rpartScore, spatstat.model, splinetree, stima, treeClust","Reverse.imports":"agghoo, aggTrees, alookr, autoBagging, autoScorecard, aVirtualTwins, baguette, binst, biomod2, bnclassify, Bodi, bst, BT, C443, canceR, citrus, classmap, creditmodel, CSMES, CTShiny, CTShiny2, CytoDx, deepdive, Dforest, DIscBIO, discSurv, div, dlookr, DMwR2, ebmc, evalITR, explore, EZtune, farr, featurefinder, FFTrees, flashlight, funkycells, gamclass, gdverse, geomod, glmnetr, GNOSIS, Harvest.Tree, Hmisc, HMP, htetree, ibmdbR, ImHD, ImML, ipred, isoboost, JOPS, JOUSBoost, lares, less, LongituRF, LTRCtrees, mcboost, mcca, MetabolomicsBasics, mice, mikropml, mlearning, MLInterfaces, Modeler, monographaR, partykit, PDtoolkit, plotBart, ppsr, pre, PredPsych, predReliability, PSAboot, psica, qeML, Qindex, radiant.model, RaSEn, rbooster, RecordLinkage, rgnoisefilt, RISCA, rminer, rms, rotationForest, RRBoost, RSDA, semtree, simputation, SMOTEWB, spc4sts, SSDM, statip, stream, SubgrpID, supclust, survivalSL, synthpop, tehtuner, TestsSymmetry, traineR, TSDT, validatesuggest, varbin, vcrpart, visTree, VSURF, xgrove","Reverse.suggests":"ALL, animint2, arsenal, aslib, AutoScore, bartCause, BatchExperiments, batchtools, bcf, BiodiversityR, bsnsing, butcher, CALIBERrfimpute, candisc, caret, caretEnsemble, catdata, caTools, censored, ceterisParibus, classifly, condvis2, counterfactuals, DAAG, DALEXtra, data.tree, decoupleR, dials, doParallel, doSNOW, DoubleML, DynTxRegime, e1071, easyalluvial, embed, evtree, fdm2id, finetune, flacco, flowml, fmeffects, FRESA.CAD, fscaret, FSelector, FSelectorRcpp, GenericML, ggdendro, ggplot2, ggResidpanel, globaltest, HandTill2001, HSAUR, HSAUR2, HSAUR3, iml, imputeGeneric, imputeR, insight, IRon, klaR, languageR, LocalControl, lulcc, MachineShop, MantaID, MatchIt, mboost, medflex, memoria, miesmuschel, mlexperiments, mlr, mlr3, mlr3batchmark, mlr3benchmark, mlr3fairness, mlr3fda, mlr3filters, mlr3fselect, mlr3hyperband, mlr3mbo, mlr3pipelines, mlr3resampling, mlr3spatial, mlr3spatiotempcv, mlr3summary, mlr3torch, mlr3tuning, mlr3tuningspaces, mlr3viz, mlrCPO, mlrintermbo, mlrMBO, mlsurvlrnrs, mosaicModel, naniar, nipalsMCIA, offsetreg, OpenML, paircompviz, parallelMap, parsnip, partools, pdp, pec, plotmo, pmml, purge, R2HTML, randomForestVIP, rattle, recipes, riskRegression, ROSE, sense, shapper, sharp, shipunov, soilassessment, sperrorest, stablelearner, stabm, StratifiedMedicine, subsemble, SuperLearner, superMICE, tidyrules, treeheatr, UBayFS, UBL, utiml, vetiver, visNetwork","Reverse.enhances":"d3r, dendextend, prediction, sfsmisc, vip","DOI":"10.32614/CRAN.package.rpart"} {"Package":"RWsearch","Version":"5.1.4","Depends":"R (>= 3.4.0)","Imports":"brew, latexpdf, networkD3, sig, sos, XML","Suggests":"ctv, findR, foghorn, knitr, pacman, rmarkdown, xfun","License":"GPL-2","MD5sum":"8d16a7fb6649c55e6ff43eb603ad45b5","NeedsCompilation":"no","Author":"Patrice Kiener [aut, cre] ()","Authors.R":"c(\n person(\"Patrice\", \"Kiener\", role = c(\"aut\", \"cre\"),\n email = \"rpackages@inmodelia.com\",\n comment = c(ORCID = \"0000-0002-0505-9920\"))\n )","Date":"2024-03-03","Date.Publication":"2024-03-03 15:02:37 UTC","Description":"Search by keywords in R packages, task views, CRAN, the web and display the results in the console or in txt, html or pdf files. Download the package documentation (html index, README, NEWS, pdf manual, vignettes, source code, binaries) with a single instruction. Visualize the package dependencies and CRAN checks. Compare the package versions, unload and install the packages and their dependencies in a safe order. Explore CRAN archives. Use the above functions for task view maintenance. Access web search engines from the console thanks to 80+ bookmarks. All functions accept standard and non-standard evaluation.","Encoding":"UTF-8","Language":"en-GB","LazyData":"false","Maintainer":"Patrice Kiener ","Packaged":"2024-03-03 14:39:03 UTC; Patrice","Title":"Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One Download","VignetteBuilder":"knitr","Published":"2024-03-03","DOI":"10.32614/CRAN.package.RWsearch"} {"Package":"RxnSim","Version":"1.0.4","Depends":"R (>= 4.3.0)","Imports":"methods, rJava, fingerprint, data.table, rcdk (>= 3.8.1)","License":"GPL-3","MD5sum":"79fa6851b7f45f4d51276a5caf8eb740","NeedsCompilation":"no","Author":"Varun Giri [aut, cre]","Authors.R":"person(\"Varun\", \"Giri\", role=c(\"aut\", \"cre\"), email=\"varungiri@gmail.com\")","Date":"2023-07-15","Date.Publication":"2023-07-19 22:40:05 UTC","Description":"Methods to compute chemical similarity between two or more reactions and molecules. Allows masking of chemical substructures for weighted similarity computations. Uses packages 'rCDK' and 'fingerprint' for cheminformatics functionality. Methods for reaction similarity and sub-structure masking are as described in: Giri et al. (2015) . ","Maintainer":"Varun Giri ","Packaged":"2023-07-19 15:49:15 UTC; varun","Title":"Functions to Compute Chemical and Chemical Reaction Similarity","Type":"Package","Published":"2023-07-19","DOI":"10.32614/CRAN.package.RxnSim"} {"Package":"SCI","Version":"1.0-2","Depends":"fitdistrplus, lmomco","Suggests":"evd","License":"GPL (>= 2)","MD5sum":"a0c32b82f5c6588859c1d7aa3fc5fc2e","NeedsCompilation":"no","Author":"Lukas Gudmundsson & James H. Stagge","Date":"2016-05-02","Date.Publication":"2016-05-03 11:03:16","Description":"Functions for generating Standardized Climate Indices (SCI). SCI is a transformation of (smoothed) climate (or environmental) time series that removes seasonality and forces the data to take values of the standard normal distribution. SCI was originally developed for precipitation. In this case it is known as the Standardized Precipitation Index (SPI).","Maintainer":"Lukas Gudmundsson ","Packaged":"2016-05-03 07:53:01 UTC; lukasgu","Title":"Standardized Climate Indices Such as SPI, SRI or SPEI","Type":"Package","Published":"2016-05-03","DOI":"10.32614/CRAN.package.SCI"} {"Package":"scMappR","Version":"1.0.11","Depends":"R (>= 4.0.0)","Imports":"ggplot2, pheatmap, graphics, Seurat, GSVA, stats, utils,\ndownloader, pcaMethods, grDevices, gProfileR, limSolve,\ngprofiler2, pbapply, ADAPTS, reshape,","Suggests":"testthat, knitr, rmarkdown","License":"GPL-3","MD5sum":"e5240532b94e10747551759745abd723","NeedsCompilation":"no","Author":"Dustin Sokolowski [aut, cre],\n Mariela Faykoo-Martinez [aut],\n Lauren Erdman [aut],\n Houyun Hou [aut],\n Cadia Chan [aut],\n Helen Zhu [aut],\n Melissa Holmes [aut],\n Anna Goldenberg [aut],\n Michael Wilson [aut]","Authors.R":"\n c(person(given = \"Dustin\", family = \"Sokolowski\", role = c(\"aut\", \"cre\"), email = \"djsokolowski95@gmail.com\"), person(given = \"Mariela\", family = \"Faykoo-Martinez\", role = \"aut\", email = \"mfaykoomartinez@gmail.com\"), person(given = \"Lauren\", family = \"Erdman\", role = \"aut\", email = \"lauren.erdman@sickkids.ca\"), person(given = \"Houyun\", family = \"Hou\", role = \"aut\", email = \"huayunhou@gmail.com\"), person(given = \"Cadia\", family = \"Chan\", role = \"aut\", email = \"cadia.chan@mail.utoronto.ca\"), person(given = \"Helen\", family = \"Zhu\", role = \"aut\", email = \"helen.m.zhu@gmail.com\"), person(given = \"Melissa\", family = \"Holmes\", role = \"aut\", email = \"melissa.holmes@utoronto.ca\"), person(given = \"Anna\", family = \"Goldenberg\", role = \"aut\", email = \"nyulik@gmail.com\"), person(given = \"Michael\", family = \"Wilson\", role = \"aut\", email = \"michael.wilson@sickkids.ca\"))","Date.Publication":"2023-06-30 08:40:08 UTC","Description":"The single cell mapper (scMappR) R package contains a suite of bioinformatic tools that provide experimentally relevant cell-type specific information to a list of differentially expressed genes (DEG). The function \"scMappR_and_pathway_analysis\" reranks DEGs to generate cell-type specificity scores called cell-weighted fold-changes. Users input a list of DEGs, normalized counts, and a signature matrix into this function. scMappR then re-weights bulk DEGs by cell-type specific expression from the signature matrix, cell-type proportions from RNA-seq deconvolution and the ratio of cell-type proportions between the two conditions to account for changes in cell-type proportion. With cwFold-changes calculated, scMappR uses two approaches to utilize cwFold-changes to complete cell-type specific pathway analysis. The \"process_dgTMatrix_lists\" function in the scMappR package contains an automated scRNA-seq processing pipeline where users input scRNA-seq count data, which is made compatible for scMappR and other R packages that analyze scRNA-seq data. We further used this to store hundreds up regularly updating signature matrices. The functions \"tissue_by_celltype_enrichment\", \"tissue_scMappR_internal\", and \"tissue_scMappR_custom\" combine these consistently processed scRNAseq count data with gene-set enrichment tools to allow for cell-type marker enrichment of a generic gene list (e.g. GWAS hits). Reference: Sokolowski,D.J., Faykoo-Martinez,M., Erdman,L., Hou,H., Chan,C., Zhu,H., Holmes,M.M., Goldenberg,A. and Wilson,M.D. (2021) Single-cell mapper (scMappR): using scRNA-seq to infer cell-type specificities of differentially expressed genes. NAR Genomics and Bioinformatics. 3(1). Iqab011. .","Encoding":"UTF-8","LazyData":"true","Maintainer":"Dustin Sokolowski ","Packaged":"2023-06-27 19:13:38 UTC; djsok","Title":"Single Cell Mapper","VignetteBuilder":"knitr","Published":"2023-06-30","DOI":"10.32614/CRAN.package.scMappR"} {"Package":"searcher","Version":"0.0.7","Depends":"R (>= 3.3.0)","Suggests":"testthat (>= 2.1.0), covr, knitr, rmarkdown","License":"GPL (>= 2)","MD5sum":"d4c076d70fb0d693a35a3bd7e7ff348e","NeedsCompilation":"no","Author":"James Balamuta [aut, cre] (),\n Alex Rossell Hayes [ctb] ()","Authors.R":"c(\n person(\"James\", \"Balamuta\",\n email = \"balamut2@illinois.edu\", \n role = c(\"aut\", \"cre\"),\n comment = c(ORCID = \"0000-0003-2826-8458\")\n ),\n person(\"Alex Rossell\", \"Hayes\",\n email = \"alexander@rossellhayes.com\",\n role = c(\"ctb\"),\n comment = c(ORCID = \"0000-0001-9412-0457\")\n )\n )","BugReports":"https://github.com/coatless-rpkg/searcher/issues","Date.Publication":"2024-02-04 07:00:02 UTC","Description":"Provides a search interface to look up terms on 'Google', 'Bing', 'DuckDuckGo', 'Startpage', 'Ecosia', 'rseek', 'Twitter', 'StackOverflow', 'RStudio Community', 'GitHub', and 'BitBucket'. Upon searching, a browser window will open with the aforementioned search results.","Encoding":"UTF-8","Maintainer":"James Balamuta ","Packaged":"2024-02-04 06:40:34 UTC; ronin","Title":"Query Search Interfaces","URL":"https://github.com/coatless-rpkg/searcher,\nhttps://r-pkg.thecoatlessprofessor.com/searcher/","VignetteBuilder":"knitr","Published":"2024-02-04","Reverse.imports":"errorist, SemNetCleaner","DOI":"10.32614/CRAN.package.searcher"} {"Package":"Seurat","Version":"5.1.0","Depends":"R (>= 4.0.0), methods, SeuratObject (>= 5.0.2)","Imports":"cluster, cowplot, fastDummies, fitdistrplus, future,\nfuture.apply, generics (>= 0.1.3), ggplot2 (>= 3.3.0), ggrepel,\nggridges, graphics, grDevices, grid, httr, ica, igraph, irlba,\njsonlite, KernSmooth, leiden (>= 0.3.1), lifecycle, lmtest,\nMASS, Matrix (>= 1.5-0), matrixStats, miniUI, patchwork,\npbapply, plotly (>= 4.9.0), png, progressr, purrr, RANN,\nRColorBrewer, Rcpp (>= 1.0.7), RcppAnnoy (>= 0.0.18), RcppHNSW,\nreticulate, rlang, ROCR, RSpectra, Rtsne, scales, scattermore\n(>= 1.2), sctransform (>= 0.4.1), shiny, spatstat.explore,\nspatstat.geom, stats, tibble, tools, utils, uwot (>= 0.1.10)","LinkingTo":"Rcpp (>= 0.11.0), RcppEigen, RcppProgress","Suggests":"ape, arrow, BPCells, rsvd, testthat, hdf5r, S4Vectors,\nSummarizedExperiment, SingleCellExperiment, MAST, DESeq2,\nBiocGenerics, GenomicRanges, GenomeInfoDb, IRanges,\nrtracklayer, Rfast2, monocle, Biobase, VGAM, limma, metap,\nenrichR, mixtools, ggrastr, data.table, R.utils, presto,\nDelayedArray, harmony","License":"MIT + file LICENSE","MD5sum":"f0f8ead2778e97d7c06bac7eb6276115","NeedsCompilation":"yes","Additional_repositories":"https://satijalab.r-universe.dev,\nhttps://bnprks.r-universe.dev","Author":"Andrew Butler [ctb] (),\n Saket Choudhary [ctb] (),\n David Collins [ctb] (),\n Charlotte Darby [ctb] (),\n Jeff Farrell [ctb],\n Isabella Grabski [ctb] (),\n Christoph Hafemeister [ctb] (),\n Yuhan Hao [ctb] (),\n Austin Hartman [ctb] (),\n Paul Hoffman [ctb] (),\n Jaison Jain [ctb] (),\n Longda Jiang [ctb] (),\n Madeline Kowalski [ctb] (),\n Skylar Li [ctb],\n Gesmira Molla [ctb] (),\n Efthymia Papalexi [ctb] (),\n Patrick Roelli [ctb],\n Rahul Satija [aut, cre] (),\n Karthik Shekhar [ctb],\n Avi Srivastava [ctb] (),\n Tim Stuart [ctb] (),\n Kristof Torkenczy [ctb] (),\n Shiwei Zheng [ctb] (),\n Satija Lab and Collaborators [fnd]","Authors.R":"c(\n person(given = \"Andrew\", family = \"Butler\", email = \"abutler@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0003-3608-0463\")),\n person(given = \"Saket\", family = \"Choudhary\", email = \"schoudhary@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0001-5202-7633\")),\n person(given = 'David', family = 'Collins', email = 'dcollins@nygenome.org', role = 'ctb', comment = c(ORCID = '0000-0001-9243-7821')),\n person(given = \"Charlotte\", family = \"Darby\", email = \"cdarby@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0003-2195-5300\")),\n person(given = \"Jeff\", family = \"Farrell\", email = \"jfarrell@g.harvard.edu\", role = \"ctb\"),\n person(given = \"Isabella\", family = \"Grabski\", email = \"igrabski@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0002-0616-5469\")),\n person(given = \"Christoph\", family = \"Hafemeister\", email = \"chafemeister@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0001-6365-8254\")),\n person(given = \"Yuhan\", family = \"Hao\", email = \"yhao@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0002-1810-0822\")),\n person(given = \"Austin\", family = \"Hartman\", email = \"ahartman@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0001-7278-1852\")),\n person(given = \"Paul\", family = \"Hoffman\", email = \"hoff0792@umn.edu\", role = \"ctb\", comment = c(ORCID = \"0000-0002-7693-8957\")),\n person(given = \"Jaison\", family = \"Jain\", email = \"jjain@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0002-9478-5018\")),\n person(given = \"Longda\", family = \"Jiang\", email = \"ljiang@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0003-4964-6497\")),\n person(given = \"Madeline\", family = \"Kowalski\", email = \"mkowalski@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0002-5655-7620\")),\n person(given = \"Skylar\", family = \"Li\", email = \"sli@nygenome.org\", role = \"ctb\"),\n person(given = \"Gesmira\", family = \"Molla\", email = 'gmolla@nygenome.org', role = 'ctb', comment = c(ORCID = '0000-0002-8628-5056')),\n person(given = \"Efthymia\", family = \"Papalexi\", email = \"epapalexi@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0001-5898-694X\")),\n person(given = \"Patrick\", family = \"Roelli\", email = \"proelli@nygenome.org\", role = \"ctb\"),\n person(given = \"Rahul\", family = \"Satija\", email = \"seurat@nygenome.org\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0001-9448-8833\")),\n person(given = \"Karthik\", family = \"Shekhar\", email = \"kshekhar@berkeley.edu\", role = \"ctb\"),\n person(given = \"Avi\", family = \"Srivastava\", email = \"asrivastava@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0001-9798-2079\")),\n person(given = \"Tim\", family = \"Stuart\", email = \"tstuart@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0002-3044-0897\")),\n person(given = \"Kristof\", family = \"Torkenczy\", email = \"\", role = \"ctb\", comment = c(ORCID = \"0000-0002-4869-7957\")),\n person(given = \"Shiwei\", family = \"Zheng\", email = \"szheng@nygenome.org\", role = \"ctb\", comment = c(ORCID = \"0000-0001-6682-6743\")),\n person(\"Satija Lab and Collaborators\", role = \"fnd\")\n )","BugReports":"https://github.com/satijalab/seurat/issues","Collate":"'RcppExports.R' 'reexports.R' 'generics.R' 'clustering.R'\n'visualization.R' 'convenience.R' 'data.R'\n'differential_expression.R' 'dimensional_reduction.R'\n'integration.R' 'zzz.R' 'integration5.R' 'mixscape.R'\n'objects.R' 'preprocessing.R' 'preprocessing5.R' 'roxygen.R'\n'sketching.R' 'tree.R' 'utilities.R'","Date":"2024-05-08","Date.Publication":"2024-05-10 17:23:17 UTC","Description":"A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) , Macosko E, Basu A, Satija R, et al (2015) , Stuart T, Butler A, et al (2019) , and Hao, Hao, et al (2020) for more details.","Encoding":"UTF-8","LazyData":"true","Maintainer":"Rahul Satija ","Packaged":"2024-05-10 12:49:30 UTC; collinsd","Title":"Tools for Single Cell Genomics","URL":"https://satijalab.org/seurat, https://github.com/satijalab/seurat","Published":"2024-05-10","Reverse.depends":"CACIMAR, CelliD, ReactomeGSA.data, scAnnotatR, SCArray.sat, scCustomize, SCdeconR","Reverse.imports":"AnanseSeurat, APackOfTheClones, APL, bbknnR, benchdamic, CAESAR.Suite, CAMML, CDI, ClusterFoldSimilarity, COTAN, CuratedAtlasQueryR, decontX, Dino, DR.SC, DWLS, GeneNMF, ggsc, ggsector, infercnv, mixhvg, MOSim, nebula, partCNV, pipeComp, PoweREST, PRECAST, ProFAST, RegionalST, rPanglaoDB, scAnnotate, scaper, scBFA, scBubbletree, scCB2, sccca, scDataviz, scDiffCom, scFeatures, scGate, scGOclust, SCIntRuler, scMappR, scperturbR, scpoisson, SCRIP, scRNAseqApp, scRNAstat, scTreeViz, SignacX, singleCellTK, SoupX, Spaniel, SPECK, speckle, SpotClean, stJoincount, STREAK, tidyseurat","Reverse.suggests":"ASURAT, Banksy, BayesSpace, BisqueRNA, Canek, cellpypes, CIARA, ClustAssess, clustifyrdatahub, clustree, combiroc, conos, consICA, countland, CRMetrics, CytoSimplex, DCATS, decoupleR, demuxSNP, DIscBIO, dittoSeq, dorothea, dyngen, easybio, EasyCellType, EpiMix, escape, escheR, FEAST, fgsea, GeomxTools, grandR, harmony, HCATonsilData, M3Drop, MOFA2, monocle, muscData, Nebulosa, nipalsMCIA, progeny, RESET, rliger, schex, SCORPIUS, SCpubr, scRepertoire, scTensor, Signac, SimBenchData, SimBu, SpatialDecon, SpatialFeatureExperiment, spatialHeatmap, SuperCell, TAPseq, TCGAbiolinks, tidybulk, treefit, tricycle, UCell, VAM","Reverse.enhances":"ReactomeGSA, SeuratObject","DOI":"10.32614/CRAN.package.Seurat"} {"Package":"sig","Version":"0.0-6","Depends":"R (>= 2.15.0)","License":"Unlimited","MD5sum":"b2f704cbde5d18544ddf5d27fa45e9ff","NeedsCompilation":"no","Author":"Richard Cotton [aut, cre]","Authors.R":"person(\"Richard\", \"Cotton\", role = c(\"aut\", \"cre\"), email =\n \"richierocks@gmail.com\")","BugReports":"https://bitbucket.org/richierocks/sig/issues","Collate":"'sig.R' 'list_sigs.R' 'as.R' 'is.R' 'sig_report.R'\n'indexing.R' 'utils.R' 'write_sigs.R'","Date":"2022-04-19","Date.Publication":"2022-04-21 12:50:02 UTC","Description":"Print function signatures and find overly complicated code.","Maintainer":"Richard Cotton ","Packaged":"2022-04-21 01:30:27 UTC; richie","Title":"Print Function Signatures","Type":"Package","URL":"https://bitbucket.org/richierocks/sig","Published":"2022-04-21","Reverse.imports":"RWsearch","DOI":"10.32614/CRAN.package.sig"} {"Package":"Signac","Version":"1.14.0","Depends":"R (>= 4.1.0), methods","Imports":"GenomeInfoDb (>= 1.29.3), GenomicRanges, IRanges, Matrix,\nRsamtools, S4Vectors, SeuratObject (>= 5.0.2), data.table,\ndplyr (>= 1.0.0), future, future.apply, ggplot2, rlang, irlba,\npbapply, tidyr, patchwork, stats, utils, BiocGenerics, stringi,\nfastmatch, RcppRoll, scales, Rcpp, grid, tidyselect, vctrs,\nlifecycle","LinkingTo":"Rcpp","Suggests":"Seurat (>= 5.0.2), ggforce, ggrepel, ggseqlogo, testthat (>=\n2.1.0), chromVAR, SummarizedExperiment, TFBSTools, motifmatchr,\nBSgenome, shiny, miniUI, rtracklayer, biovizBase, Biostrings,\nlsa, MASS","License":"MIT + file LICENSE","MD5sum":"365d9e8ab266616bbc651f644981924e","NeedsCompilation":"yes","Author":"Tim Stuart [aut, cre] (),\n Avi Srivastava [aut] (),\n Paul Hoffman [ctb] (),\n Rahul Satija [ctb] ()","Authors.R":"c(\n person(given = 'Tim', family = 'Stuart', email = 'stuartt@gis.a-star.edu.sg', role = c('aut', 'cre'), comment = c(ORCID = '0000-0002-3044-0897')),\n person(given = 'Avi', family = 'Srivastava', email = 'asrivastava@nygenome.org', role = 'aut', comment = c(ORCID = '0000-0001-9798-2079')),\n person(given = 'Paul', family = 'Hoffman', email = 'phoffman@nygenome.org', role = 'ctb', comment = c(ORCID = '0000-0002-7693-8957')),\n person(given = 'Rahul', family = 'Satija', email = 'rsatija@nygenome.org', role = 'ctb', comment = c(ORCID = '0000-0001-9448-8833'))\n )","BugReports":"https://github.com/stuart-lab/signac/issues","Collate":"'RcppExports.R' 'data.R' 'differential_accessibility.R'\n'generics.R' 'dimension_reduction.R' 'footprinting.R'\n'fragments.R' 'genomeinfodb-methods.R' 'granges-methods.R'\n'heatmaps.R' 'iranges-methods.R' 'links.R' 'mito.R' 'motifs.R'\n'objects.R' 'peaks.R' 'preprocessing.R' 'quantification.R'\n'region-enrichment.R' 'utilities.R' 'visualization.R' 'zzz.R'","Date":"2024-08-21","Date.Publication":"2024-08-21 07:40:02 UTC","Description":"A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2021) .","Encoding":"UTF-8","LazyData":"true","Maintainer":"Tim Stuart ","Packaged":"2024-08-21 01:13:53 UTC; stuartt","Title":"Analysis of Single-Cell Chromatin Data","URL":"https://github.com/stuart-lab/signac, https://stuartlab.org/signac","Published":"2024-08-21","Reverse.imports":"MOSim","Reverse.suggests":"AnanseSeurat, ChromSCape, HCATonsilData","DOI":"10.32614/CRAN.package.Signac"} {"Package":"simPop","Version":"2.1.3","Depends":"R(>= 3.0.0), lattice, vcd","Imports":"data.table, MASS, Rcpp (>= 0.11.0), RcppArmadillo, e1071,\nparallel, nnet, doParallel, foreach, colorspace, VIM, methods,\nEnvStats, fitdistrplus, ranger, wrswoR, matrixStats, xgboost,\npartykit","LinkingTo":"Rcpp,RcppArmadillo","Suggests":"haven, microbenchmark, stringr, tinytest, sampling, covr","License":"GPL (>= 2)","MD5sum":"69730f1f5f040cf3684cd17027d04c8c","NeedsCompilation":"yes","Author":"Matthias Templ [aut, cre],\n Alexander Kowarik [aut] (),\n Bernhard Meindl [aut],\n Andreas Alfons [aut],\n Mathieu Ribatet [ctb],\n Johannes Gussenbauer [ctb],\n Siro Fritzmann [ctb]","Authors.R":"c(\n person(\"Matthias\", \"Templ\", email = \"matthias.templ@gmail.com\", role = c(\"aut\",\"cre\")),\n person(\"Alexander\", \"Kowarik\", email = \"alexander.kowarik@statistik.gv.at\", role = c(\"aut\"), comment=c(ORCID=\"0000-0001-8598-4130\")),\n person(\"Bernhard\", \"Meindl\", email = \"bernhard.meindl@statistik.gv.at\", role = c(\"aut\")),\n person(\"Andreas\", \"Alfons\", role = c(\"aut\")),\n person(\"Mathieu\", \"Ribatet\", role = c(\"ctb\")),\n person(\"Johannes\", \"Gussenbauer\", email = \"johannes.gussenbauer@statistik.gv.at\", role = c(\"ctb\")),\n person(\"Siro\", \"Fritzmann\", email = \"siro.fritzmann@bluewin.ch\", role = c(\"ctb\")))","ByteCompile":"TRUE","Collate":"'0classes.R' 'addKnownMargins.R' 'addWeights.r' 'calibPop.R'\n'calibSample.R' 'calibVars.R' 'contingencyWt.R' 'correctHeap.R'\n'crossValidation.R' 'fitGPD.R' 'getBreaks.R' 'getCat.R' 'ipu.r'\n'meanWt.R' 'printFunctions.R' 'quantileWt.R' 'sampHH.R'\n'RcppExports.R' 'silcTools.R' 'silcTools2.R' 'simAnnealingDT.R'\n'simCategorical.R' 'simComponents.R' 'simContinuous.R'\n'simEUSILC.R' 'simGPD.R' 'simInitSpatial.R' 'simple_dis.R'\n'simPop-package.R' 'simRelation.R' 'simStructure.R'\n'spBwplot.R' 'spBwplotStats.R' 'spCdf.R' 'spCdfplot.R'\n'spMosaic.R' 'spPredict.R' 'spSample.R' 'spTable.R'\n'specifyInput.R' 'sprague.R' 'tableWt.R' 'utility.R' 'utils.R'\n'whipple.R' 'dataSets.R' 'zzz.R'","Date":"2024-01-05","Date.Publication":"2024-01-08 10:40:02 UTC","Description":"Tools and methods to simulate populations for surveys based on auxiliary data. The tools include model-based methods, calibration and combinatorial optimization algorithms, see Templ, Kowarik and Meindl (2017) ) and Templ (2017) . The package was developed with support of the International Household Survey Network, DFID Trust Fund TF011722 and funds from the World bank.","Encoding":"UTF-8","LazyLoad":"yes","Maintainer":"Matthias Templ ","Packaged":"2024-01-05 10:41:47 UTC; gussen","Title":"Simulation of Complex Synthetic Data Information","Type":"Package","URL":"https://github.com/statistikat/simPop","Published":"2024-01-08","DOI":"10.32614/CRAN.package.simPop"} {"Package":"sos","Version":"2.1-8","Depends":"R (>= 3.5.0), brew","Suggests":"RODBC, WriteXLS, testthat, knitr, rmarkdown","License":"GPL (>= 2)","MD5sum":"6f42fc86e867d427400ae9958575e698","NeedsCompilation":"no","Author":"Spencer Graves [cre, aut, cph], \n Sundar Dorai-Raj [aut], and Romain Francois [ctb]","BugReports":"https://github.com/sbgraves237/sos/issues","Date":"2024-06-28","Date.Publication":"2024-06-29 18:40:02 UTC","Description":"Search contributed R packages, sort by package.","Language":"en-us","Maintainer":"Spencer Graves ","Packaged":"2024-06-29 17:27:35 UTC; sg","Title":"Search Contributed R Packages, Sort by Package","URL":"https://github.com/sbgraves237/sos","VignetteBuilder":"knitr, rmarkdown","Published":"2024-06-29","Reverse.depends":"RcmdrPlugin.sos","Reverse.imports":"RWsearch, sinew","Reverse.suggests":"rfordummies","DOI":"10.32614/CRAN.package.sos"} {"Package":"spatial","Version":"7.3-17","Priority":"recommended","Depends":"R (>= 3.0.0), graphics, stats, utils","Suggests":"MASS","License":"GPL-2 | GPL-3","MD5sum":"75ae4757dcf945ca276634c716393c1b","NeedsCompilation":"yes","Author":"Brian Ripley [aut, cre, cph],\n Roger Bivand [ctb],\n William Venables [cph]","Authors.R":"c(person(\"Brian\", \"Ripley\", role = c(\"aut\", \"cre\", \"cph\"),\n email = \"ripley@stats.ox.ac.uk\"),\n\t person(\"Roger\", \"Bivand\", role = \"ctb\"),\n person(\"William\", \"Venables\", role = \"cph\"))","ByteCompile":"yes","Date":"2023-07-20","Date.Publication":"2023-07-20 15:08:46 UTC","Description":"Functions for kriging and point pattern analysis.","LazyLoad":"yes","Maintainer":"Brian Ripley ","Packaged":"2023-07-20 14:41:40 UTC; ripley","Title":"Functions for Kriging and Point Pattern Analysis","URL":"http://www.stats.ox.ac.uk/pub/MASS4/","Published":"2023-07-20","Reverse.imports":"fBasics, geodiv, Morphoscape, rcaiman","Reverse.suggests":"BiodiversityR, spatstat.explore, spatstat.geom, spatstat.model, spatstat.random","DOI":"10.32614/CRAN.package.spatial"} {"Package":"spectralAnalysis","Version":"4.3.3","Imports":"baseline, BiocGenerics, data.table, ggplot2, graphics,\njsonlite, magrittr, methods, nnls, NMF, plotly, plyr, dplyr,\nRColorBrewer, signal, stats, viridis, hNMF, zoo, pls","Suggests":"testthat, knitr, rmarkdown, webshot, bookdown","License":"GPL-3","MD5sum":"8c81d71101dccfa66c2882772fc5b061","NeedsCompilation":"no","Author":"Robin Van Oirbeek [aut],\n Adriaan Blommaert [aut, cre],\n Nicolas Sauwen [aut],\n Tor Maes [ctb],\n Jan Dijkmans [ctb],\n Jef Cuypers [ctb],\n Tatsiana Khamiakova [ctb],\n Michel Thiel [ctb],\n Claudia Beleites [ctb]","Authors.R":"c( person(\"Robin\", \"Van Oirbeek\", role = c(\"aut\") ),\n person(\"Adriaan\", \"Blommaert\", role = c(\"aut\", \"cre\"),\n email = \"adriaan.blommaert@openanalytics.eu\"),\n person(\"Nicolas\", \"Sauwen\", role = c(\"aut\"),\n email = \"nicolas.sauwen@openanalytics.eu\"),\n person(\"Tor\", \"Maes\", role = \"ctb\" ),\n person(\"Jan\", \"Dijkmans\", role = \"ctb\" ),\n person(\"Jef\", \"Cuypers\", role = \"ctb\" ),\n person(\"Tatsiana\", \"Khamiakova\", role = \"ctb\" ),\n person(\"Michel\", \"Thiel\", role = \"ctb\" ),\n person(\"Claudia\" , \"Beleites\" , role = \"ctb\" )\n ) ","Collate":"'internalHelpers.R' 'allGenericFunctions.R'\n'objectSpectraInTime.R' 'objectProcessTimes.R'\n'objectLinking.R' 'alignmentFunctions.R'\n'combineSpectralObjects.R' 'dataManagementTools.R' 'defaults.R'\n'objectSpectraInTimeComp.R' 'readSPC.R' 'saveSpectraInTime.R'\n'spectralIntegration.R' 'spectralNMF.R' 'spectralPLS.R'\n'spectralPreprocessing.R' 'spectralVisualization.R'\n'subsetting.R'","Date.Publication":"2024-01-30 08:50:02 UTC","Description":" Infrared, near-infrared and Raman spectroscopic data measured during chemical reactions, provide structural fingerprints by which molecules can be identified and quantified. The application of these spectroscopic techniques as inline process analytical tools (PAT), provides the pharmaceutical and chemical industry with novel tools, allowing to monitor their chemical processes, resulting in a better process understanding through insight in reaction rates, mechanistics, stability, etc. Data can be read into R via the generic spc-format, which is generally supported by spectrometer vendor software. Versatile pre-processing functions are available to perform baseline correction by linking to the 'baseline' package; noise reduction via the 'signal' package; as well as time alignment, normalization, differentiation, integration and interpolation. Implementation based on the S4 object system allows storing a pre-processing pipeline as part of a spectral data object, and easily transferring it to other datasets. Interactive plotting tools are provided based on the 'plotly' package. Non-negative matrix factorization (NMF) has been implemented to perform multivariate analyses on individual spectral datasets or on multiple datasets at once. NMF provides a parts-based representation of the spectral data in terms of spectral signatures of the chemical compounds and their relative proportions. See 'hNMF'-package for references on available methods. The functionality to read in spc-files was adapted from the 'hyperSpec' package.","Maintainer":"Adriaan Blommaert ","Packaged":"2024-01-29 09:55:11 UTC; SMathieu","Title":"Pre-Process, Visualize and Analyse Spectral Data","URL":"https://openanalytics.eu","VignetteBuilder":"knitr","Published":"2024-01-30","DOI":"10.32614/CRAN.package.spectralAnalysis"} {"Package":"ssdtools","Version":"1.0.6","Depends":"R (>= 4.1)","Imports":"abind, chk, doFuture, foreach, furrr, generics, ggplot2,\ngoftest, graphics, grid, lifecycle, parallel, plyr, purrr,\nRcpp, scales, ssddata, stats, stringr, tibble, TMB, universals,\nutils, VGAM","LinkingTo":"Rcpp, RcppEigen, TMB","Suggests":"covr, dplyr, fitdistrplus, future, glue, grDevices, knitr,\nmagrittr, mle.tools, R.rsp, readr, reshape2, rlang, rmarkdown,\ntestthat, tidyr, tidyselect, withr","License":"Apache License (== 2.0) | file LICENSE","MD5sum":"4fe9cc1cf1afc46135f7991f07836100","NeedsCompilation":"yes","Author":"Joe Thorley [aut, cre, ctr] (),\n Carl Schwarz [aut, ctr],\n Rebecca Fisher [ctb],\n David Fox [ctb],\n Angeline Tillmanns [ctb],\n Ali Azizishirazi [ctb],\n Kathleen McTavish [ctb],\n Heather Thompson [ctb],\n Doug Spry [ctb],\n Rick van Dam [ctb],\n Graham Batley [ctb],\n Heather Thompson [ctb],\n Andy Teucher [ctb],\n Seb Dalgarno [ctb] (),\n Emilie Doussantousse [ctb],\n Stephanie Hazlitt [ctb],\n Nadine Hussein [ctb],\n Nan-Hung Hsieh [ctb],\n Sergio Ibarra Espinosa [ctb],\n Province of British Columbia [cph],\n Environment and Climate Change Canada [cph]","Authors.R":"c(\n person(\"Joe\", \"Thorley\", , \"joe@poissonconsulting.ca\", role = c(\"aut\", \"cre\", \"ctr\"),\n comment = c(ORCID = \"0000-0002-7683-4592\")),\n person(\"Carl\", \"Schwarz\", role = c(\"aut\", \"ctr\")),\n person(\"Rebecca\", \"Fisher\", role = \"ctb\"),\n person(\"David\", \"Fox\", role = \"ctb\"),\n person(\"Angeline\", \"Tillmanns\", role = \"ctb\"),\n person(\"Ali\", \"Azizishirazi\", role = \"ctb\"),\n person(\"Kathleen\", \"McTavish\", role = \"ctb\"),\n person(\"Heather\", \"Thompson\", role = \"ctb\"),\n person(\"Doug\", \"Spry\", role = \"ctb\"),\n person(\"Rick\", \"van Dam\", role = \"ctb\"),\n person(\"Graham\", \"Batley\", role = \"ctb\"),\n person(\"Heather\", \"Thompson\", role = \"ctb\"),\n person(\"Andy\", \"Teucher\", role = \"ctb\"),\n person(\"Seb\", \"Dalgarno\", , \"seb@poissonconsulting.ca\", role = \"ctb\",\n comment = c(ORCID = \"0000-0002-3658-4517\")),\n person(\"Emilie\", \"Doussantousse\", role = \"ctb\"),\n person(\"Stephanie\", \"Hazlitt\", role = \"ctb\"),\n person(\"Nadine\", \"Hussein\", role = \"ctb\"),\n person(\"Nan-Hung\", \"Hsieh\", role = \"ctb\"),\n person(\"Sergio\", \"Ibarra Espinosa\", role = \"ctb\"),\n person(\"Province of British Columbia\", role = \"cph\"),\n person(\"Environment and Climate Change Canada\", role = \"cph\")\n )","BugReports":"https://github.com/bcgov/ssdtools/issues","Date.Publication":"2023-09-07 14:10:02 UTC","Description":"Species sensitivity distributions are cumulative probability distributions which are fitted to toxicity concentrations for different species as described by Posthuma et al.(2001) . The ssdtools package uses Maximum Likelihood to fit distributions such as the gamma, log-logistic, log-normal and Weibull to censored and/or weighted data. Multiple distributions can be averaged using Akaike Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping.","Encoding":"UTF-8","Language":"en-US","LazyData":"true","Maintainer":"Joe Thorley ","Packaged":"2023-09-07 07:57:31 UTC; joe","Title":"Species Sensitivity Distributions","URL":"https://github.com/bcgov/ssdtools","VignetteBuilder":"knitr, R.rsp","Published":"2023-09-07","Deadline":"2024-10-21","DOI":"10.32614/CRAN.package.ssdtools"} {"Package":"stratifyR","Version":"1.0-3","Depends":"R (>= 3.4.0), fitdistrplus, zipfR, stats, actuar, triangle,\nmc2d","Suggests":"knitr, rmarkdown","License":"GPL-2","MD5sum":"3bf39bb82e8881e80c1a6efdf57062bb","NeedsCompilation":"yes","Author":"Karuna G. Reddy [aut, cre],\n M. G. M. Khan [aut]","Authors.R":"c(\n person(\"Karuna G.\", \"Reddy\",, \"karuna.reddy@usp.ac.fj\", c(\"aut\", \"cre\")),\n person(\"M. G. M.\", \"Khan\",, \"khan_mg@usp.ac.fj\", \"aut\")\n )","Date":"2021-11-28","Date.Publication":"2021-12-07 08:20:02 UTC","Description":"The stratification of univariate populations under stratified sampling designs is implemented according to Khan et al. (2002) and Khan et al. (2015) in this library. It determines the Optimum Strata Boundaries (OSB) and Optimum Sample Sizes (OSS) for the study variable, y, using the best-fit frequency distribution of a survey variable (if data is available) or a hypothetical distribution (if data is not available). The method formulates the problem of determining the OSB as mathematical programming problem which is solved by using a dynamic programming technique. If a dataset of the population is available to the surveyor, the method estimates its best-fit distribution and determines the OSB and OSS under Neyman allocation directly. When the dataset is not available, stratification is made based on the assumption that the values of the study variable, y, are available as hypothetical realizations of proxy values of y from recent surveys. Thus, it requires certain distributional assumptions about the study variable. At present, it handles stratification for the populations where the study variable follows a continuous distribution, namely, Pareto, Triangular, Right-triangular, Weibull, Gamma, Exponential, Uniform, Normal, Log-normal and Cauchy distributions. ","Encoding":"UTF-8","LazyData":"true","Maintainer":"Karuna G. Reddy ","Packaged":"2021-12-06 23:42:47 UTC; karunareddy","Title":"Optimal Stratification of Univariate Populations","Type":"Package","VignetteBuilder":"knitr","Published":"2021-12-07","DOI":"10.32614/CRAN.package.stratifyR"} {"Package":"survival","Version":"3.7-0","Priority":"recommended","Depends":"R (>= 3.5.0)","Imports":"graphics, Matrix, methods, splines, stats, utils","License":"LGPL (>= 2)","MD5sum":"3c5e99c6936bf040c8364305ab448f94","NeedsCompilation":"yes","Author":"Terry M Therneau [aut, cre],\n Thomas Lumley [ctb, trl] (original S->R port and R maintainer until\n 2009),\n Atkinson Elizabeth [ctb],\n Crowson Cynthia [ctb]","Authors.R":"c(person(c(\"Terry\", \"M\"), \"Therneau\",\n email=\"therneau.terry@mayo.edu\",\n\t role=c(\"aut\", \"cre\")),\n person(\"Thomas\", \"Lumley\", role=c(\"ctb\", \"trl\"),\n\t comment=\"original S->R port and R maintainer until 2009\"),\n\t person(\"Atkinson\", \"Elizabeth\", role=\"ctb\"),\n\t person(\"Crowson\", \"Cynthia\", role=\"ctb\"))","ByteCompile":"Yes","Date":"2024-06-01","Date.Publication":"2024-06-05 16:30:02 UTC","Description":"Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.","LazyData":"Yes","LazyDataCompression":"xz","Maintainer":"Terry M Therneau ","Packaged":"2024-06-03 15:17:04 UTC; therneau","Title":"Survival Analysis","URL":"https://github.com/therneau/survival","Published":"2024-06-05","Reverse.depends":"aCGH, AER, AF, ahaz, ahMLE, aisoph, anoint, APtools, BART, bayesDP, BayesianMediationA, BayesMixSurv, bayesSurv, bcfrailph, bcfrailphdv, BeQut, bhm, biostat3, blapsr, BMA, bpcp, BRACE, bshazard, carcass, CaseCohortCoxSurvival, cchs, censored, CGEN, ClassifyR, cmprsk, coin, ComparisonSurv, compound.Cox, cond, contTimeCausal, Copula.Markov.survival, coxed, coxme, coxphm, coxphSGD, coxphw, CoxR2, CPE, crrcbcv, crrSC, csampling, ctqr, cuRe, 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[ctb, cph] (Examples and Tutorials),\n Posit, PBC [cph, fnd]","Authors.R":"c(\n person(\"JJ\", \"Allaire\", role = c(\"aut\", \"cph\")),\n person(\"Tomasz\", \"Kalinowski\", role = c(\"ctb\", \"cph\", \"cre\"),\n email = \"tomasz.kalinowski@posit.co\"),\n person(\"Daniel\", \"Falbel\", role = c(\"ctb\", \"cph\"), email = \"daniel@posit.co\"),\n person(\"Dirk\", \"Eddelbuettel\", role = c(\"ctb\", \"cph\"),\n email = \"edd@debian.org\"),\n person(\"Yuan\", \"Tang\", role = c(\"aut\", \"cph\"),\n email = \"terrytangyuan@gmail.com\",\n comment = c(ORCID = \"0000-0001-5243-233X\")),\n person(\"Nick\", \"Golding\", role = c(\"ctb\", \"cph\"),\n email = \"nick.golding.research@gmail.com\"),\n person(\"Google Inc.\", role = c(\"ctb\", \"cph\"),\n comment = \"Examples and Tutorials\"),\n person(\"Posit, PBC\", role = c(\"cph\", \"fnd\"))\n )","BugReports":"https://github.com/rstudio/tensorflow/issues","Date.Publication":"2024-04-15 16:30:02 UTC","Description":"Interface to 'TensorFlow' , an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.","Encoding":"UTF-8","Maintainer":"Tomasz Kalinowski ","Packaged":"2024-04-15 15:56:39 UTC; tomasz","SystemRequirements":"TensorFlow (https://www.tensorflow.org/)","Title":"R Interface to 'TensorFlow'","Type":"Package","URL":"https://github.com/rstudio/tensorflow","Published":"2024-04-15","Reverse.depends":"animl, DCLEAR, deepregression, deeptrafo, pareg","Reverse.imports":"ARMALSTM, codacore, codez, decompDL, DeepPINCS, deepredeff, digitalDLSorteR, EEMDlstm, FuncNN, ganDataModel, ganGenerativeData, GenProSeq, gnn, greta, greta.dynamics, greta.gp, iSubGen, janus, keras, keras3, kerastuneR, LDNN, MBMethPred, ML2Pvae, mnda, neuralGAM, orthos, processpredictR, rTLsDeep, sentiment.ai, snap, SpatialDDLS, tfaddons, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfNeuralODE, tfprobability, TSdeeplearning, TSLSTM, TSLSTMplus, tsLSTMx, VAExprs","Reverse.suggests":"bamlss, bundle, cloudml, CRISPRseek, CytoMethIC, DeProViR, dimRed, embed, GPUmatrix, infinityFlow, innsight, nn2poly, parsnip, reservr, runMCMCbtadjust, scaffolder, seriation, tfautograph, tfevents, vetiver","DOI":"10.32614/CRAN.package.tensorflow"} {"Package":"tfestimators","Version":"1.9.2","Depends":"R (>= 3.1)","Imports":"forge, magrittr, progress, reticulate (>= 1.10), rlang (>=\n0.3), tensorflow (>= 1.9), tfruns (>= 1.1), tidyselect, utils,\npurrr, tibble, tidyr","Suggests":"ggplot2, modelr (>= 0.1.1), testthat, rmarkdown, knitr","License":"Apache License 2.0","MD5sum":"4a9432c5618430024e57418dc4faa387","NeedsCompilation":"no","Author":"JJ Allaire [aut],\n Yuan Tang [aut] (),\n Kevin Ushey [aut],\n Kevin Kuo [aut] (),\n Tomasz Kalinowski [cre],\n Daniel Falbel [ctb, cph],\n RStudio [cph, fnd],\n Google Inc. [cph]","Authors.R":"c(\n person(\"JJ\", \"Allaire\", role = c(\"aut\"),\n email = \"jj@rstudio.com\"),\n person(\"Yuan\", \"Tang\", role = c(\"aut\"),\n email = \"terrytangyuan@gmail.com\",\n comment = c(ORCID = \"0000-0001-5243-233X\")),\n person(\"Kevin\", \"Ushey\", role = c(\"aut\"),\n email = \"kevin@rstudio.com\"),\n person(\"Kevin\", \"Kuo\", role = c(\"aut\"),\n email = \"kevin.kuo@rstudio.com\",\n comment = c(ORCID = \"0000-0001-7803-7901\")),\n person(\"Tomasz\", \"Kalinowski\", role = c(\"cre\"),\n email = \"tomasz.kalinowski@rstudio.com\"),\n person(\"Daniel\", \"Falbel\", role = c(\"ctb\", \"cph\")),\n person(\"RStudio\", role = c(\"cph\", \"fnd\")), \n person(family = \"Google Inc.\", role = c(\"cph\"))\n )","BugReports":"https://github.com/rstudio/tfestimators/issues","Date.Publication":"2021-08-09 22:30:02 UTC","Description":"Interface to 'TensorFlow' Estimators , a high-level API that provides implementations of many different model types including linear models and deep neural networks. ","Encoding":"UTF-8","Maintainer":"Tomasz Kalinowski ","Packaged":"2021-08-09 12:41:00 UTC; tomasz","SystemRequirements":"TensorFlow (https://www.tensorflow.org/)","Title":"Interface to 'TensorFlow' Estimators","Type":"Package","URL":"https://github.com/rstudio/tfestimators","VignetteBuilder":"knitr","Published":"2021-08-09","Reverse.suggests":"tfdatasets, tfhub","DOI":"10.32614/CRAN.package.tfestimators"} {"Package":"titrationCurves","Version":"0.1.0","Suggests":"knitr, rmarkdown","License":"GPL-2","MD5sum":"42ff3398668d5159b9b0221b5c1d04d9","NeedsCompilation":"no","Author":"David Harvey [aut, cre]","Authors.R":"person(\"David\",\"Harvey\", email = \"harvey@depauw.edu\", role = c(\"aut\", \"cre\"))","Date":"2016-02-09","Date.Publication":"2016-02-11 00:49:16","Description":"A collection of functions to plot acid/base titration curves (pH vs. volume of titrant), complexation titration curves (pMetal vs. volume of EDTA), redox titration curves (potential vs.volume of titrant), and precipitation titration curves (either pAnalyte or pTitrant vs. volume of titrant). Options include the titration of mixtures, the ability to overlay two or more titration curves, and the ability to show equivalence points.","LazyData":"TRUE","Maintainer":"David Harvey ","Packaged":"2016-02-10 20:42:24 UTC; davidharvey","Title":"Acid/Base, Complexation, Redox, and Precipitation Titration Curves","Type":"Package","VignetteBuilder":"knitr","Published":"2016-02-11","DOI":"10.32614/CRAN.package.titrationCurves"} {"Package":"univariateML","Version":"1.1.1","Depends":"R (>= 2.10)","Imports":"assertthat, extraDistr, tibble, logitnorm, actuar, nakagami,\nfGarch","Suggests":"testthat, knitr, rmarkdown, markdown, copula, dplyr, covr","License":"MIT + file LICENSE","MD5sum":"cf7d7127e883f6850e90644d970419fc","NeedsCompilation":"no","Author":"Jonas Moss [aut, cre] (),\n Thomas Nagler [ctb]","Authors.R":"c(\n person(\"Jonas\", \"Moss\", , \"jonas.gjertsen@gmail.com\", role = c(\"aut\", \"cre\"), \n comment = c(ORCID = \"0000-0002-6876-6964\")),\n person(\"Thomas\", \"Nagler\", , \"mail@tnagler.com\", role = c(\"ctb\"))\n )","BugReports":"https://github.com/JonasMoss/univariateML/issues","Date.Publication":"2022-01-25 13:30:02 UTC","Description":"User-friendly maximum likelihood estimation (Fisher (1921) ) of univariate densities.","Encoding":"UTF-8","LazyData":"true","Maintainer":"Jonas Moss ","Packaged":"2022-01-25 13:06:47 UTC; jonas","Title":"Maximum Likelihood Estimation for Univariate Densities","Type":"Package","URL":"https://github.com/JonasMoss/univariateML,\nhttps://jonasmoss.github.io/univariateML/","VignetteBuilder":"knitr","Published":"2022-01-25","Reverse.imports":"ale, EBcoBART, kdensity, piecenorms, svines","DOI":"10.32614/CRAN.package.univariateML"} {"Package":"uptasticsearch","Version":"0.4.0","Depends":"R (>= 3.3.0)","Imports":"assertthat (>= 0.2.0), data.table, futile.logger, httr,\njsonlite, purrr, stringr, utils, uuid","Suggests":"knitr, rmarkdown, testthat","License":"BSD_3_clause + file LICENSE","MD5sum":"0b257d3592ca391a1cc1be744da45443","NeedsCompilation":"no","Author":"James Lamb [aut, cre],\n Nick Paras [aut],\n Austin Dickey [aut],\n Michael Frasco [ctb],\n Weiwen Gu [ctb],\n Will Dearden [ctb],\n Uptake Technologies Inc. [cph]","Authors.R":"c(\n person(\"James\", \"Lamb\", email = \"jaylamb20@gmail.com\", role = c(\"aut\", \"cre\")),\n person(\"Nick\", \"Paras\", email = \"nick.paras@uptake.com\", role = c(\"aut\")),\n person(\"Austin\", \"Dickey\", email = \"austin.dickey@uptake.com\", role = c(\"aut\")),\n person(\"Michael\", \"Frasco\", email = \"mfrasco6@gmail.com\", role = c(\"ctb\")),\n person(\"Weiwen\", \"Gu\", email = \"weiwen.gu@uptake.com\", role = c(\"ctb\")),\n person(\"Will\", \"Dearden\", email = \"william.dearden@uptake.com\", role = c(\"ctb\")),\n person(\"Uptake Technologies Inc.\", role = c(\"cph\")))","BugReports":"https://github.com/uptake/uptasticsearch/issues","Date.Publication":"2019-09-11 18:30:03 UTC","Description":" 'Elasticsearch' is an open-source, distributed, document-based datastore (). It provides an 'HTTP' 'API' for querying the database and extracting datasets, but that 'API' was not designed for common data science workflows like pulling large batches of records and normalizing those documents into a data frame that can be used as a training dataset for statistical models. 'uptasticsearch' provides an interface for 'Elasticsearch' that is explicitly designed to make these data science workflows easy and fun.","Encoding":"UTF-8","LazyData":"TRUE","Maintainer":"James Lamb ","Packaged":"2019-09-11 17:29:59 UTC; jlamb","Title":"Get Data Frame Representations of 'Elasticsearch' Results","Type":"Package","URL":"https://github.com/uptake/uptasticsearch","VignetteBuilder":"knitr","Published":"2019-09-11","DOI":"10.32614/CRAN.package.uptasticsearch"} {"Package":"VetResearchLMM","Version":"1.0.0","Depends":"R (>= 3.1)","Imports":"ggplot2, lme4, nlme, lmerTest, multcomp","License":"GPL-2","MD5sum":"367b7253932e491239a7276ceedef2b6","NeedsCompilation":"no","Author":"Muhammad Yaseen [aut, cre],\n Luc Duchateau [ctb],\n Paul Janssen [ctb],\n John Rowlands [ctb]","Authors.R":"c(\n person(c(\"Muhammad\", \"Yaseen\"), email = \"myaseen208@gmail.com\", role = c(\"aut\", \"cre\"))\n , person(c(\"Luc\", \"Duchateau\"), email = \"Luc.Duchateau@ugent.be\", role = \"ctb\")\n , person(c(\"Paul\", \"Janssen\"), email = \"paul.janssen@uhasselt.be\", role = \"ctb\")\n , person(c(\"John\", \"Rowlands\"), email = \" \", role = \"ctb\")\n )","Date.Publication":"2018-04-22 05:44:50 UTC","Description":"R Codes and Datasets for Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998). Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute.","LazyData":"TRUE","Maintainer":"Muhammad Yaseen ","Note":"Department of Mathematics and Statistics, University of\nAgriculture Faisalabad, Faisalabad-Pakistan.","Packaged":"2018-04-22 05:36:12 UTC; myaseen","Title":"Linear Mixed Models - An Introduction with Applications in Veterinary Research","Type":"Package","URL":"https://github.com/MYaseen208/VetResearchLMM","Published":"2018-04-22","DOI":"10.32614/CRAN.package.VetResearchLMM"} {"Package":"visNetwork","Version":"2.1.2","Depends":"R (>= 3.0)","Imports":"htmlwidgets, htmltools, jsonlite, magrittr, utils, methods,\ngrDevices, stats","Suggests":"knitr, rmarkdown, webshot, igraph, rpart, shiny,\nshinyWidgets, colourpicker, sparkline, ggraph, tidygraph,\nflashClust","License":"MIT + file LICENSE","MD5sum":"342f258cfa418a9ccf924f985b9e87ff","NeedsCompilation":"no","Author":"Almende B.V. and Contributors [aut, cph] (vis.js library in\n htmlwidgets/lib, https://visjs.org/,\n https://github.com/visjs/vis-network),\n Benoit Thieurmel [aut, cre] (R interface)","Authors.R":"c(\n person(family = \"Almende B.V. and Contributors\", role = c(\"aut\", \"cph\"),\n comment = \"vis.js library in htmlwidgets/lib, https://visjs.org/, https://github.com/visjs/vis-network\"),\n person(\"Benoit\", \"Thieurmel\", role = c(\"aut\", \"cre\"),\n comment = \"R interface\", email = \"bthieurmel@gmail.com\")\n )","BugReports":"https://github.com/datastorm-open/visNetwork/issues","Date.Publication":"2022-09-29 16:20:02 UTC","Description":"Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.","Maintainer":"Benoit Thieurmel ","Packaged":"2022-09-29 06:10:20 UTC; BenoitThieurmel","Title":"Network Visualization using 'vis.js' Library","URL":"https://datastorm-open.github.io/visNetwork/","VignetteBuilder":"knitr, rmarkdown","Published":"2022-09-29","Reverse.depends":"BED, massiveGST, microPop, ontoFAST, ReDaMoR, TKCat","Reverse.imports":"ahnr, arulesViz, bioCancer, BiocFHIR, BlockmodelingGUI, bnviewer, bulkAnalyseR, CaPO4Sim, CIMICE, ClustIRR, CoDiNA, corrgrapher, corrViz, cosmosR, cranly, CurricularAnalytics, delayed, DiagrammeR, doublIn, epicontacts, epiflows, flowGraph, GALLO, GeDi, genBaRcode, GeneTonic, gINTomics, gmgm, GroupBN, GSSTDA, hipathia, Holomics, hypeR, iDINGO, IFC, immcp, INDEED, InterCellar, iSEEfier, kesernetwork, LDATree, linkspotter, MadanTextNetwork, makemyprior, metanetwork, MXM, nda, netShiny, NIMAA, o2geosocial, outbreaker2, pathlinkR, petrinetR, pGRN, piano, pipeFrame, pkgdepR, pkgnet, RavenR, RcextTools, Rforestry, rmake, scTensor, sense, shinySbm, ShinyTester, signatureSearch, sRACIPE, Summix, tidycwl, WhatsR, wTO","Reverse.suggests":"bibliometrix, BiocPkgTools, CNVScope, crandep, DAPAR, data.validator, dbnR, drake, edibble, FELLA, funspotr, HelpersMG, jagstargets, lava, makepipe, mlr3pipelines, mlr3torch, mwshiny, plumber, pomdp, RcisTarget, ReactomeGraph4R, scDiffCom, scone, sharp, spatialHeatmap, SPONGE, targets, VOSONDash","DOI":"10.32614/CRAN.package.visNetwork"} {"Package":"vsgoftest","Version":"1.0-1","Depends":"stats, fitdistrplus","Imports":"Rcpp (>= 0.12.1)","LinkingTo":"Rcpp","Suggests":"knitr","License":"GPL (>= 2)","MD5sum":"49c795cbfbdaf125f66e0e01566824b0","NeedsCompilation":"yes","Author":"Justine Lequesne [aut], Philippe Regnault [aut, cre]","Date":"2020-12-17","Date.Publication":"2020-12-17 16:30:02 UTC","Description":"An implementation of Vasicek and Song goodness-of-fit tests. Several functions are provided to estimate differential Shannon entropy, i.e., estimate Shannon entropy of real random variables with density, and test the goodness-of-fit of some family of distributions, including uniform, Gaussian, log-normal, exponential, gamma, Weibull, Pareto, Fisher, Laplace and beta distributions; see Lequesne and Regnault (2020) .","Encoding":"UTF-8","Maintainer":"Philippe Regnault ","Packaged":"2020-12-17 13:30:49 UTC; philippe","Title":"Goodness-of-Fit Tests Based on Kullback-Leibler Divergence","Type":"Package","VignetteBuilder":"knitr","Published":"2020-12-17","DOI":"10.32614/CRAN.package.vsgoftest"} {"Package":"websearchr","Version":"0.0.3","Depends":"R (>= 3.4.0)","Imports":"utils","License":"MIT + file LICENSE","MD5sum":"e274dbcd4c2f1db169842b2bd5202dba","NeedsCompilation":"no","Author":"Florian S. Schaffner [aut, cre]\n (),\n Charles Crabtree [ctb]","Authors.R":"c(\n\tperson(\"Florian S.\", \"Schaffner\", email = \"florian.schaffner@outlook.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-3352-6191\")),\n\tperson(\"Charles\", \"Crabtree\", email = \"ccrabtr@umich.edu\", role = c(\"ctb\")))","BugReports":"https://github.com/fschaff/websearchr/issues","Date.Publication":"2018-10-23 12:10:03 UTC","Description":"Functions that allow for accessing domains and a number of search engines.","Encoding":"UTF-8","LazyData":"true","Maintainer":"Florian S. 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