R2D2ordinal: Implements Pseudo-R2D2 Prior for Ordinal Regression

Implements the pseudo-R2D2 prior for ordinal regression from the paper "Psuedo-R2D2 prior for high-dimensional ordinal regression" by Yanchenko (2025) <doi:10.48550/arXiv.2502.17491>. 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.

Version:	1.0.0
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
Published:	2025-02-27
DOI:	10.32614/CRAN.package.R2D2ordinal
Author:	Eric Yanchenko [aut, cre]
Maintainer:	Eric Yanchenko <eyanchenko at aiu.ac.jp>
License:	MIT + file LICENSE
NeedsCompilation:	yes
SystemRequirements:	GNU make
CRAN checks:	R2D2ordinal results

Documentation:

Reference manual:	R2D2ordinal.pdf
Vignettes:	pR2D2ord prior for Ordinal Regression (source, R code)

Downloads:

Package source:	R2D2ordinal_1.0.0.tar.gz
Windows binaries:	r-devel: R2D2ordinal_1.0.0.zip, r-release: R2D2ordinal_1.0.0.zip, r-oldrel: R2D2ordinal_1.0.0.zip
macOS binaries:	r-devel (arm64): R2D2ordinal_1.0.0.tgz, r-release (arm64): R2D2ordinal_1.0.0.tgz, r-oldrel (arm64): R2D2ordinal_1.0.0.tgz, r-devel (x86_64): R2D2ordinal_1.0.0.tgz, r-release (x86_64): R2D2ordinal_1.0.0.tgz, r-oldrel (x86_64): R2D2ordinal_1.0.0.tgz

Linking:

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