Package: surbayes
Type: Package
Title: Bayesian Analysis of Seemingly Unrelated Regression Models
Version: 0.1.2
Date: 2020-08-24
Author: Ethan Alt
Maintainer: Ethan Alt <ethanalt@live.unc.edu>
Description: 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.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.4.6), Matrix, rlist
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 7.1.0
Collate: 'RcppExports.R' 'predict.surbayes.R' 'sur_sample_powerprior.R'
        'sur_sample_dmc.R' 'sur_sample.R' 'surbayes-package.R'
URL: https://github.com/ethan-alt/surbayes
BugReports: https://github.com/ethan-alt/surbayes/issues
NeedsCompilation: yes
Packaged: 2020-08-24 13:15:14 UTC; ethanalt
Repository: CRAN
Date/Publication: 2020-08-26 09:10:03 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-08-18 06:48:17 UTC; unix
Archs: surbayes.so.dSYM
