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R2D2ordinal
View on CRAN: Click
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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", "1.0.0")
Attach the package and use:
library("R2D2ordinal")
Maintained by
Eric Yanchenko
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.R2D2ordinal . R2D2ordinal results . R2D2ordinal.pdf . R2D2ordinal_1.0.1.tar.gz . R2D2ordinal_1.0.1.zip . R2D2ordinal_1.0.1.zip . R2D2ordinal_1.0.1.zip . R2D2ordinal_1.0.1.tgz . R2D2ordinal_1.0.1.tgz . R2D2ordinal_1.0.1.tgz . R2D2ordinal_1.0.1.tgz . R2D2ordinal_1.0.1.tgz . R2D2ordinal_1.0.1.tgz . R2D2ordinal archive . https://CRAN.R-project.org/package=R2D2ordinal .
First Published: 2025-02-27
Latest Update: 2025-02-27
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 1.0.0, https://cran.r-project.org/web/packages/R2D2ordinal. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0.0 (2025-02-27 18:10)
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