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R2D2ordinal  

Implements Pseudo-R2D2 Prior for Ordinal Regression
View on CRAN: Click here


Download and install R2D2ordinal package within the R console
Install from CRAN:
install.packages("R2D2ordinal")

Install from Github:
library("remotes")
install_github("cran/R2D2ordinal")

Install by package version:
library("remotes")
install_version("R2D2ordinal", "1.0.2")



Attach the package and use:
library("R2D2ordinal")
Maintained by
Eric Yanchenko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-27
Latest Update: 2025-03-18
Description:
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.
How to cite:
Eric Yanchenko (2025). R2D2ordinal: Implements Pseudo-R2D2 Prior for Ordinal Regression. R package version 1.0.2, https://cran.r-project.org/web/packages/R2D2ordinal. Accessed 04 Jul. 2026.
Previous versions and publish date:
1.0.0 (2025-02-27 18:10), 1.0.1 (2025-03-18 12:20)
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Complete documentation for R2D2ordinal
Functions, R codes and Examples using the R2D2ordinal R package
Full R2D2ordinal package functions and examples
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