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 Documentation: Reference manual: 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 form https://CRAN.R-project.org/package=surbayes to link to this page.
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