Implements Pseudo-R2D2 Prior for Ordinal Regression R package R2D2ordinal version 1.0.2 Implements the pseudo-R2D2 prior for ordinal regression from the paper "Pseudo-R2D2 prior for high-dimensional ordinal regression" by Yanchenko (2025) <doi:10.1007/s11222-025-10667-x>. 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. Software 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) Suggests: knitr, rmarkdown, ggplot2, dplyr Eric Yanchenko <eyanchenko@aiu.ac.jp> Comprehensive R Archive Network (CRAN) Eric Yanchenko [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=R2D2ordinal/LICENSE) 2025-12-17 application/tgz https://CRAN.R-project.org/package=R2D2ordinal doi:10.32614/CRAN.package.R2D2ordinal