Package: ordinalbayes 0.1.1

Kellie J. Archer

ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data

Provides a function for fitting various penalized Bayesian cumulative link ordinal response models when the number of parameters exceeds the sample size. These models have been described in Zhang and Archer (2021) <doi:10.1186/s12859-021-04432-w>.

Authors:Kellie J. Archer [aut, cre], Anna Seffernick [ctb], Shuai Sun [ctb], Yiran Zhang [aut]

ordinalbayes_0.1.1.tar.gz
ordinalbayes_0.1.1.tar.gz(r-4.5-noble)ordinalbayes_0.1.1.tar.gz(r-4.4-noble)
ordinalbayes_0.1.1.tgz(r-4.4-emscripten)ordinalbayes_0.1.1.tgz(r-4.3-emscripten)
ordinalbayes.pdf |ordinalbayes.html
ordinalbayes/json (API)

# Install 'ordinalbayes' in R:
install.packages('ordinalbayes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kelliejarcher/ordinalbayes/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • cesc - Data Frame of Smaller Subset of The Cancer Genome Atlas Cervical Cancer HTSeq Data.
  • finalSet - Subset of The Cancer Genome Atlas Cervical Cancer HTSeq Data.
  • reducedSet - Smaller Subset of The Cancer Genome Atlas Cervical Cancer HTSeq Data.

jagscpp

2.70 score 1 scripts 171 downloads 1 exports 159 dependencies

Last updated 3 years agofrom:66427b23c4. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linuxNOTENov 25 2024

Exports:ordinalbayes

Dependencies:abindaskpassbackportsbase64encBHBiobaseBiocGenericsBiocParallelbootbrewbriobslibcachemcallrcheckmateclicliprcodacodetoolscolorspacecommonmarkcpp11crayoncredentialscurldcloneDelayedArraydescDESeq2devtoolsdiffobjdigestdistributionaldownlitellipsisevaluatefansifarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgertggplot2ghgitcredsgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrhttr2iniinlineIRangesisobandjquerylibjsonliteknitrlabelinglambda.rlaterlatticelifecyclelocfitloomagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminiUImunsellnlmenumDerivopensslpillarpkgbuildpkgconfigpkgdownpkgloadposteriorpraiseprettyunitsprocessxprofvispromisespspurrrQuickJSRR2OpenBUGSR6raggrappdirsrcmdcheckRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelremotesrjagsrlangrmarkdownroxygen2rprojrootrstanrstudioapirunjagsrversionsS4ArraysS4VectorssassscalessessioninfoshinysnowsourcetoolsSparseArrayStanHeadersstringistringrSummarizedExperimentsyssystemfontstensorAtestthattextshapingtibbletinytexUCSC.utilsurlcheckerusethisutf8vctrsviridisLitewaldowhiskerwithrxfunxml2xopenxtableXVectoryamlzipzlibbioc

ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data

Rendered fromordinalbayes-vignette.Rmdusingknitr::rmarkdownon Nov 25 2024.

Last update: 2022-04-06
Started: 2022-03-11