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: 2026-09-22 09:46:29 UTC; root
Author: Eric Yanchenko [aut, cre]
Maintainer: Eric Yanchenko <eyanchenko@aiu.ac.jp>
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
Built: R 4.6.0; wasm32-unknown-emscripten; 2026-09-22 09:50:33 UTC; unix
