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
This package is considered a duplicate. The official version of this package is found at:https://kelliejarcher.r-universe.dev/ordinalbayes
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.zip(r-4.7-any)ordinalbayes_0.1.2.zip(r-4.6-any)
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✨
DESCRIPTION
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
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:c22711eead. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 366 | ||
| source / vignettes | OK | 393 | ||
| linux-release | OK | 265 | ||
| windows-devel | OK | 260 | ||
| windows-release | OK | 233 | ||
| wasm-release | OK | 150 |
Exports:ordinalbayes
Dependencies:abindbackportsBHBiobaseBiocGenericsBiocParallelbootcallrcheckmateclicodacodetoolscpp11dcloneDelayedArraydescDESeq2distributionalfarverformatRfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegridExtragtableinlineIRangesisobandlabelinglambda.rlatticelifecyclelocfitloomagrittrMatrixMatrixGenericsmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR2OpenBUGSR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrjagsrlangrstanrunjagsS4ArraysS4VectorsS7scalesSeqinfosnowSparseArrayStanHeadersSummarizedExperimenttensorAtibbleutf8vctrsviridisLitewithrXVector
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 |