lrgs: Linear Regression by Gibbs Sampling

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.

Version: 0.5.3
Imports: mvtnorm
Published: 2017-12-01
Author: Adam Mantz
Maintainer: Adam Mantz <amantz at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: lrgs results


Reference manual: lrgs.pdf
Package source: lrgs_0.5.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: lrgs_0.5.3.tgz
OS X Mavericks binaries: r-oldrel: lrgs_0.5.3.tgz
Old sources: lrgs archive


Please use the canonical form to link to this page.