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surbayes: Bayesian Analysis of Seemingly Unrelated Regression Models

Implementation of the direct Monte Carlo approach of Zellner and Ando (2010) <doi:10.1016/j.jeconom.2010.04.005> to sample from posterior of Seemingly Unrelated Regression (SUR) models. In addition, a Gibbs sampler is implemented that allows the user to analyze SUR models using the power prior.

Version:0.1.2
Imports:Rcpp (≥ 1.0.4.6),Matrix,rlist
LinkingTo:Rcpp,RcppArmadillo
Published:2020-08-26
DOI:10.32614/CRAN.package.surbayes
Author:Ethan Alt
Maintainer:Ethan Alt <ethanalt at live.unc.edu>
BugReports:https://github.com/ethan-alt/surbayes/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/ethan-alt/surbayes
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:surbayes results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:surbayes.html ,surbayes.pdf

Downloads:

Package source: surbayes_0.1.2.tar.gz
Windows binaries: r-devel:surbayes_0.1.2.zip, r-release:surbayes_0.1.2.zip, r-oldrel:surbayes_0.1.2.zip
macOS binaries: r-release (arm64):surbayes_0.1.2.tgz, r-oldrel (arm64):surbayes_0.1.2.tgz, r-release (x86_64):surbayes_0.1.2.tgz, r-oldrel (x86_64):surbayes_0.1.2.tgz
Old sources: surbayes archive

Linking:

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


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