Linear Regression by Gibbs Sampling R package lrgs version 0.5.4 Implements a Gibbs sampler to do linear regression with multiple covariates, multiple responses, Gaussian measurement errors on covariates and responses, Gaussian intrinsic scatter, and a covariate prior distribution which is given by either a Gaussian mixture of specified size or a Dirichlet process with a Gaussian base distribution. Described further in Mantz (2016) <DOI:10.1093/mnras/stv3008>. Software Imports: mvtnorm Adam Mantz <amantz@slac.stanford.edu> Comprehensive R Archive Network (CRAN) Adam Mantz MIT + file LICENSE (https://CRAN.R-project.org/package=lrgs/LICENSE) 2020-08-11 application/tgz https://CRAN.R-project.org/package=lrgs doi:10.32614/CRAN.package.lrgs