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 + file LICENSE |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| CRAN checks: |
R2D2ordinal results |
Documentation:
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