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: | 1.0.1 |
| 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: | 2025-03-18 |
| DOI: | 10.32614/CRAN.package.R2D2ordinal |
| Author: | Eric Yanchenko [aut, cre] |
| Maintainer: | Eric Yanchenko <eyanchenko at aiu.ac.jp> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| CRAN checks: | R2D2ordinal results |
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