Package: bayescopulareg 0.1.2.9000

Ethan Alt

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>.

Authors:Ethan Alt [aut, cre], Yash Bhosale [aut]

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NEWS

# Install 'bayescopulareg' in R:
install.packages('bayescopulareg', repos = c('https://ethan-alt.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ethan-alt/bayescopulareg/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

1 exports 0.63 score 3 dependencies 231 downloads

Last updated 4 years agofrom:6e8f70549f. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-win-x86_64NOTESep 04 2024
R-4.5-linux-x86_64NOTESep 04 2024
R-4.4-win-x86_64NOTESep 04 2024
R-4.4-mac-x86_64NOTESep 04 2024
R-4.4-mac-aarch64NOTESep 04 2024
R-4.3-win-x86_64NOTESep 04 2024
R-4.3-mac-x86_64NOTESep 04 2024
R-4.3-mac-aarch64NOTESep 04 2024

Exports:bayescopulaglm

Dependencies:RcppRcppArmadilloRcppDist