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) <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.
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: 2025-12-17 08:05:17 UTC; ericyanchenko
Author: Eric Yanchenko [aut, cre]
Maintainer: Eric Yanchenko <eyanchenko@aiu.ac.jp>
Repository: CRAN
Date/Publication: 2025-12-17 09:10:02 UTC
Built: R 4.5.2; aarch64-apple-darwin20; 2025-12-19 09:06:40 UTC; unix
Archs: R2D2ordinal.so.dSYM
