Package: ordinalbayes 0.1.2
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:
ordinalbayes_0.1.2.tar.gz
ordinalbayes_0.1.2.tar.gz(r-4.7-any)ordinalbayes_0.1.2.tar.gz(r-4.6-any)
ordinalbayes_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ordinalbayes/json (API)
| # Install 'ordinalbayes' in R: |
| install.packages('ordinalbayes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kelliejarcher/ordinalbayes/issues
- 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
- 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:c22711eead. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 342 | ||
| source / vignettes | OK | 382 | ||
| linux-release-x86_64 | OK | 326 | ||
| wasm-release | OK | 153 |
Exports:ordinalbayes
Dependencies:abindbackportsBHBiobaseBiocGenericsBiocParallelbootcallrcheckmateclicodacodetoolscpp11dcloneDelayedArraydescDESeq2distributionalfarverformatRfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegridExtragtableinlineIRangesisobandlabelinglambda.rlatticelifecyclelocfitloomagrittrMatrixMatrixGenericsmatrixStatsnumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR2OpenBUGSR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrjagsrlangrstanrunjagsS4ArraysS4VectorsS7scalesSeqinfosnowSparseArrayStanHeadersSummarizedExperimenttensorAtibbleutf8vctrsviridisLitewithrXVector
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 |
