Package: R2D2ordinal Title: Implements Pseudo-R2D2 Prior for Ordinal Regression Version: 1.0.2 Authors@R: person("Eric", "Yanchenko", , "eyanchenko@aiu.ac.jp", role = c("aut", "cre")) Description: Implements the pseudo-R2D2 prior for ordinal regression from the paper "Pseudo-R2D2 prior for high-dimensional ordinal regression" by Yanchenko (2025) . In particular, it provides code to evaluate the probability distribution function for the cut-points, compute the log-likelihood, calculate the hyper-parameters for the global variance parameter, find the distribution of McFadden's coefficient-of-determination, and fit the model in 'rstan'. Please cite the paper if you use these codes. License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.2 Biarch: true Depends: R (>= 3.5.0) Imports: extraDistr (>= 1.10.0), GIGrvg (>= 0.8), LaplacesDemon (>= 16.1.6), methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0) LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0) SystemRequirements: GNU make Suggests: knitr, rmarkdown, ggplot2, dplyr VignetteBuilder: knitr NeedsCompilation: yes Packaged: 2026-06-16 08:52:25 UTC; root Author: Eric Yanchenko [aut, cre] Maintainer: Eric Yanchenko Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2025-12-17 09:10:02 UTC RemoteUrl: https://github.com/cran/R2D2ordinal RemoteRef: HEAD RemoteSha: ef2ed4045c94e06eadeecbfcc055054a3797760e