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'))

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.

2.70 score 1 scripts 150 downloads 1 exports 160 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Oct 26 2024
R-4.5-linux	NOTE	Oct 26 2024

Exports:ordinalbayes

Dependencies:abind askpass backports base64enc BH Biobase BiocGenerics BiocParallel boot brew brio bslib cachem callr checkmate cli clipr coda codetools colorspace commonmark cpp11 crayon credentials curl dclone DelayedArray desc DESeq2 devtools diffobj digest distributional downlit ellipsis evaluate fansi farver fastmap fontawesome formatR fs futile.logger futile.options generics GenomeInfoDb GenomeInfoDbData GenomicRanges gert ggplot2 gh gitcreds glue gridExtra gtable highr htmltools htmlwidgets httpuv httr httr2 ini inline IRanges isoband jquerylib jsonlite knitr labeling lambda.r later lattice lifecycle locfit loo magrittr MASS Matrix MatrixGenerics matrixStats memoise mgcv mime miniUI munsell nlme numDeriv openssl pillar pkgbuild pkgconfig pkgdown pkgload posterior praise prettyunits processx profvis promises ps purrr QuickJSR R2OpenBUGS R6 ragg rappdirs rcmdcheck RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel rematch2 remotes rjags rlang rmarkdown roxygen2 rprojroot rstan rstudioapi runjags rversions S4Arrays S4Vectors sass scales sessioninfo shiny snow sourcetools SparseArray StanHeaders stringi stringr SummarizedExperiment sys systemfonts tensorA testthat textshaping tibble tinytex UCSC.utils urlchecker usethis utf8 vctrs viridisLite waldo whisker withr xfun xml2 xopen xtable XVector yaml zip zlibbioc

ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data

Kellie J. Archer, Anna Eames Seffernick, Shuai Sun, Yiran Zhang

Rendered fromordinalbayes-vignette.Rmdusingknitr::rmarkdownon Oct 26 2024.

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

Citation

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

Package: ordinalbayes 0.1.1

ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data

ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)