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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 |
Reference manual: | bayescopulareg.pdf |
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 |
Please use the canonical form https://CRAN.R-project.org/package=bayescopulareg to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.