Package: MAINT.Data 2.7.1
Pedro Duarte Silva
MAINT.Data: Model and Analyse Interval Data
Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Authors:
MAINT.Data_2.7.1.tar.gz
MAINT.Data_2.7.1.tar.gz(r-4.5-noble)MAINT.Data_2.7.1.tar.gz(r-4.4-noble)
MAINT.Data_2.7.1.tgz(r-4.4-emscripten)MAINT.Data_2.7.1.tgz(r-4.3-emscripten)
MAINT.Data.pdf |MAINT.Data.html✨
MAINT.Data/json (API)
| # Install 'MAINT.Data' in R: |
| install.packages('MAINT.Data', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- AbUnits - Abalone Data Set
- AbaDF - Abalone Data Set
- AbaloneIdt - Abalone Data Set
- Cars - Cars Data Set
- ChinaTemp - China Temperatures Data Set
- FlightsDF - New York City flights Data Set
- FlightsIdt - New York City flights Data Set
- FlightsUnits - New York City flights Data Set
- LoansbyPurpose_minmaxDt - Loans by purpose: minimum and maximum Data Set
- LoansbyRiskLvs_minmaxDt - Loans by risk levels: minimum and maximum Data Set
- LoansbyRiskLvs_qntlDt - Loans by risk levels: ten and ninety per cent quantiles Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:d471fb2c79. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 21 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 21 2024 |
Exports:AgrMcDtAICBestCBestGBestModelBICcbindclassificationcnvCPtoDPcnvDPtoCPcoefcolnamesConfMatcorCovCaseDACrossValEMControlfasttlefulltlegetetagetIdtOutlgetMahaD2getmultiCmpCorgetRefDistH0resH1resheadHmcdtIDataIdtmclustldalogLikLogRangesMANOVAMANOVAPermTestMCDcnp2MCDRewcnp2meanMidPointsmleNbMicroUnitsNbMicroUnits<-ncolnrowObsLogLiksparameterspcoordplotplotplotInfCrtPostProbpredictproqdaqHardRoqFRangesrbindRepLOptimRobEstControlRobldaRobMxtDEstRobqdarow.namesrownamessdSelCritshowsndastdErsummarytailtestModvarvcov
Dependencies:clicolorspacecpp11crayonDEoptimRdigestdplyrfansifarverforcatsgenericsGGallyggplot2ggstatsgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmclustmgcvmiscToolsmnormtmunsellmvtnormnlmenumDerivpatchworkpcaPPpillarpkgconfigplyrprettyunitsprogresspurrrquantregR6RColorBrewerRcppRcppArmadillorlangrobustbaserrcovscalessnSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Modelling and Analizing Interval Data | MAINT.Data-package MAINT.Data |
| Abalone Data Set | AbaDF Abalone AbaloneIdt AbUnits |
| Agregate Micro Data | AgrMcDt |
| Methods for function BestModel in Package `MAINT.Data' | BestModel BestModel,IData-method BestModel-methods |
| Cars Data Set | Cars |
| China Temperatures Data Set | ChinaTemp |
| Methods for function coef in Package `MAINT.Data' | coef coef,IdtNandSNDE-method coef,IdtNDE-method coef,IdtSNDE-method coef-methods |
| Confussion Matrices for classification results | ConfMat |
| Class "Configuration Tests" | ConfTests-class show,ConfTests-method |
| Methods for function cor in Package `MAINT.Data' | cor cor,IdtMxNDE-method cor,IdtMxSNDE-method cor,IdtNandSNDE-method cor,IdtNDE-method cor,IdtSNDE-method cor-methods |
| Cross Validation for Discriminant Analysis Classification Rules | DACrossVal |
| Constructor function for objects of class EMControl | EMControl |
| EM algorithm control parameters for fitting Gaussian mixtures to interval data. | EMControl-class |
| Class "extmatrix" | extmatrix-class |
| Methods for Function fasttle in Package 'MAINT.Data' | fasttle fasttle,IData-method fasttle-methods |
| Methods for Function fulltle in Package 'MAINT.Data' | fulltle fulltle,IData-method fulltle-methods |
| Get Interval Data Outliers | getIdtOutl |
| Interval Data objects | IData is.IData |
| Class IData | head,IData-method IData-class LogRanges,IData-method MidPoints,IData-method NbMicroUnits,IData-method print,IData-method Ranges,IData-method summary,IData-method tail,IData-method |
| Class IdtE | AIC,IdtE-method BestModel,IdtE-method BIC,IdtE-method IdtE-class IdtSngDE-class logLik,IdtE-method sd,IdtE-method show,IdtE-method summary,IdtE-method testMod,IdtE-method |
| Class "Idtlda" | CovCase,Idtlda-method Idtlda-class predict,Idtlda-method show,Idtlda-method |
| Class IdtMANOVA | IdtClMANOVA-class IdtGenNSNMANOVA-class IdtGenSNMANOVA-class IdtHetNMANOVA-class IdtLocNSNMANOVA-class IdtLocSNMANOVA-class IdtMANOVA-class |
| Class IdtMclust | AIC,IdtMclust-method BestC BestC,IdtMclust-method BestG BestG,IdtMclust-method BIC,IdtMclust-method classification classification,IdtMclust-method cor,IdtMclust-method Hmcdt Hmcdt,IdtMclust-method IdtMclust-class logLik,IdtMclust-method mean,IdtMclust-method parameters parameters,IdtMclust-method PostProb PostProb,IdtMclust-method pro pro,IdtMclust-method SelCrit SelCrit,IdtMclust-method show,IdtMclust-method var,IdtMclust-method |
| Methods for function Idtmclust in Package `MAINT.Data' | Idtmclust Idtmclust,IData-method Idtmclust-methods |
| Class IdtMxE | IdtMxE-class |
| Class IdtMxNandSNDE | IdtMxNandSNDE-class |
| Class IdtMxNDE | IdtMxNDE-class |
| Class IdtMxNDE | IdtMxNDRE-class |
| Class IdtMxSNDE | IdtMxSNDE-class |
| Class IdtMxtNDE | IdtMxtNDE-class |
| Class IdtNandSNDE | IdtNandSNDE-class |
| Class IdtNDE | IdtNDE-class |
| Class IdtOutl | geteta geteta,IdtOutl-method getMahaD2 getMahaD2,IdtOutl-method getmultiCmpCor getmultiCmpCor,IdtOutl-method getRefDist getRefDist,IdtOutl-method IdtOutl-class print,IdtOutl-method |
| Plot method for class IdtOutl in Package `MAINT.Data' | IdtOutl-methods plot,IdtOutl,missing-method |
| Class "Idtqda" | CovCase,Idtqda-method Idtqda-class predict,Idtqda-method show,Idtqda-method |
| Class "IdtSNDE" | IdtSNDE-class |
| Class "IdtSNgenda" | CovCase,IdtSNgenda-method IdtSNgenda-class predict,IdtSNgenda-method show,IdtSNgenda-method |
| Class IdtSngNandSNDE | IdtSngNandSNDE-class |
| Class IdtSngNDE | IdtSngNDE-class |
| Class IdtSngNDRE | IdtSngNDRE-class |
| Class IdtSngSNDE | IdtSngSNDE-class |
| Class "IdtSNlocda" | CovCase,IdtSNlocda-method IdtSNlocda-class predict,IdtSNlocda-method show,IdtSNlocda-method |
| Linear Discriminant Analysis of Interval Data | lda lda,IData-method lda,IdtClMANOVA-method lda,IdtLocNSNMANOVA-method lda,IdtMxtNDE-method lda-methods |
| Loans by purpose: minimum and maximum Data Set | LoansbyPurpose_minmaxDt |
| Loans by risk levels: minimum and maximum Data Set | LoansbyRiskLvs_minmaxDt |
| Loans by risk levels: ten and ninety per cent quantiles Data Set | LoansbyRiskLvs_qntlDt |
| Class LRTest | LRTest-class show,LRTest-method |
| Methods for Function MANOVA in Package `MAINT.Data' | H0res H0res,IdtMANOVA-method H1res H1res,IdtMANOVA-method MANOVA MANOVA,IData-method MANOVA-methods show,IdtMANOVA-method |
| MANOVA permutation test | MANOVAPermTest |
| Methods for function mean in Package `MAINT.Data' | mean mean,IdtMxNDE-method mean,IdtMxSNDE-method mean,IdtNandSNDE-method mean,IdtNDE-method mean,IdtSNDE-method mean-methods |
| Methods for function mle in Package `MAINT.Data' | mle mle,IData-method mle-methods |
| New York City flights Data Set | FlightsDF FlightsIdt FlightsUnits nycflights |
| Parallel coordinates plot. | pcoordplot pcoordplot,IdtMclust-method pcoordplot-methods |
| Methods for function plot in Package `MAINT.Data' | plot plot,IData,IData-method plot,IData,missing-method plot,IData-method plot-methods |
| Information criteria plot. | plotInfCrt plotInfCrt,IdtMclust-method plotInfCrt-methods |
| Quadratic Discriminant Analysis of Interval Data | qda qda,IData-method qda,IdtGenNSNMANOVA-method qda,IdtHetNMANOVA-method qda,IdtMxtNDE-method qda-methods |
| Hardin and Rocke F-quantiles | qHardRoqF |
| Repeated Local Optimization | RepLOptim |
| Robust Discriminant Analysis of Interval Data | Roblda Roblda,IData-method Roblda-methods Robqda Robqda,IData-method Robqda-methods |
| Constructor function for objects of class RobEstControl | RobEstControl |
| Class 'RobEstControl' - contains control parameters for the robust estimation of parametric interval data models. | RobEstControl-class |
| Methods for Function RobMxtDEst in Package `MAINT.Data' | RobMxtDEst RobMxtDEst,IData-method RobMxtDEst-methods |
| Skew-Normal Discriminant Analysis of Interval Data | snda snda,IData-method snda,IdtGenNSNMANOVA-method snda,IdtGenSNMANOVA-method snda,IdtLocNSNMANOVA-method snda,IdtLocSNMANOVA-method snda-methods |
| Methods for function stdEr in Package `MAINT.Data' | stdEr stdEr,IdtNandSNDE-method stdEr,IdtNDE-method stdEr,IdtSNDE-method stdEr-methods |
| IdtMclust summary method | summary,IdtMclust-method |
| Methods for Function testMod in Package `MAINT.Data' | testMod testMod-methods |
| Methods for function var in Package `MAINT.Data' | var var,IdtMxNDE-method var,IdtMxSNDE-method var,IdtNandSNDE-method var,IdtNDE-method var,IdtSNDE-method var-methods |
| Methods for function vcov in Package `MAINT.Data' | vcov vcov,IdtMxNDE-method vcov,IdtMxSNDE-method vcov,IdtNandSNDE-method vcov,IdtNDE-method vcov,IdtSNDE-method vcov-methods |