Introduction | LASSO Ordinal Model | Regression-Based Variable Inclusion Indicator Ordinal Model | Normal Spike-and-Slab Ordinal Model | Double Exponential Spike-and-Slab Ordinal Model | Other Package Functions | References
Package: ordinalbayes 0.1.1
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:
ordinalbayes_0.1.1.tar.gz
ordinalbayes_0.1.1.zip(r-4.7)ordinalbayes_0.1.1.zip(r-4.6)ordinalbayes_0.1.1.zip(r-4.5)
ordinalbayes_0.1.1.tgz(r-4.6-any)ordinalbayes_0.1.1.tgz(r-4.5-any)
ordinalbayes_0.1.1.tar.gz(r-4.7-any)ordinalbayes_0.1.1.tar.gz(r-4.6-any)
ordinalbayes_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ordinalbayes/json (API)
| # Install 'ordinalbayes' in R: |
| install.packages('ordinalbayes', repos = c('https://kelliejarcher.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kelliejarcher/ordinalbayes/issues
Uses libs:
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- 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.
Last updated from:aed233a760. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 345 | ||
| source / vignettes | OK | 374 | ||
| linux-release-x86_64 | NOTE | 343 | ||
| macos-release-arm64 | NOTE | 223 | ||
| macos-oldrel-arm64 | NOTE | 176 | ||
| windows-devel | NOTE | 288 | ||
| windows-release | NOTE | 269 | ||
| windows-oldrel | NOTE | 308 | ||
| wasm-release | OK | 177 |
Exports:ordinalbayes
Dependencies:abindaskpassbackportsbase64encBHBiobaseBiocGenericsBiocParallelbootbrewbriobslibcachemcallrcheckmateclicliprcodacodetoolscommonmarkcpp11crayoncredentialscurldcloneDelayedArraydescDESeq2devtoolsdiffobjdigestdistributionaldownlitellipsisevaluatefansifarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesgertggplot2gitcredsgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttr2iniinlineIRangesisobandjquerylibjsonliteknitrlabelinglambda.rlaterlatticelifecyclelocfitloomagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeminiUInumDerivopensslotelpakpillarpkgbuildpkgconfigpkgdownpkgloadposteriorpraiseprettyunitsprocessxprofvispromisespspurrrQuickJSRR2OpenBUGSR6raggrappdirsrcmdcheckRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrjagsrlangrmarkdownroxygen2rprojrootrstanrstudioapirunjagsrversionsS4ArraysS4VectorsS7sassscalesSeqinfosessioninfoshinysnowsourcetoolsSparseArrayStanHeadersstringiSummarizedExperimentsyssystemfontstensorAtestthattextshapingtibbletinytexurlcheckerusethisutf8vctrsviridisLitewaldowhiskerwithrxfunxml2xopenxtableXVectoryamlzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Data Frame of Smaller Subset of The Cancer Genome Atlas Cervical Cancer HTSeq Data. | cesc |
| Extract Model Coefficients | coef.ordinalbayes |
| Subset of The Cancer Genome Atlas Cervical Cancer HTSeq Data. | finalSet |
| Ordinal Bayesian Regression Models for High-Dimensional Data | ordinalbayes |
| Trace Plot and/or Density Plot of MCMC Output. | plot.ordinalbayes |
| Predicted Probabilities and Class for an Ordinal Bayes Fit. | fitted.ordinalbayes predict.ordinalbayes |
| Print MCMC Summary Statistics | print.ordinalbayes |
| Smaller Subset of The Cancer Genome Atlas Cervical Cancer HTSeq Data. | reducedSet |
| Summarize an Ordinal Bayes Object. | summary.ordinalbayes |
