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bayescopulareg: Bayesian Copula Regression

Tools for Bayesian copula generalized linear models (GLMs). The sampling scheme is based on Pitt, Chan, and Kohn (2006) <doi:10.1093/biomet/93.3.537>. Regression parameters (including coefficients and dispersion parameters) are estimated via the adaptive random walk Metropolis approach developed by Haario, Saksman, and Tamminen (1999) <doi:10.1007/s001800050022>. The prior for the correlation matrix is based on Hoff (2007) <doi:10.1214/07-AOAS107>.

Version:0.1.3
Depends:R (≥ 3.6.0)
Imports:Rcpp (≥ 1.0.3), stats
LinkingTo:Rcpp,RcppArmadillo,RcppDist,mvtnorm
Published:2020-11-30
DOI:10.32614/CRAN.package.bayescopulareg
Author:Ethan Alt [aut, cre], Yash Bhosale [aut]
Maintainer:Ethan Alt <ethanalt at live.unc.edu>
BugReports:https://github.com/ethan-alt/bayescopulareg/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/ethan-alt/bayescopulareg
NeedsCompilation:yes
Materials:README,NEWS
In views:Bayesian
CRAN checks:bayescopulareg results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:bayescopulareg.html ,bayescopulareg.pdf

Downloads:

Package source: bayescopulareg_0.1.3.tar.gz
Windows binaries: r-devel:bayescopulareg_0.1.3.zip, r-release:bayescopulareg_0.1.3.zip, r-oldrel:bayescopulareg_0.1.3.zip
macOS binaries: r-release (arm64):bayescopulareg_0.1.3.tgz, r-oldrel (arm64):bayescopulareg_0.1.3.tgz, r-release (x86_64):bayescopulareg_0.1.3.tgz, r-oldrel (x86_64):bayescopulareg_0.1.3.tgz
Old sources: bayescopulareg archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bayescopularegto link to this page.


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