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: 0.5.1
Imports: mvtnorm
Published: 2016-07-30
Author: Adam Mantz
Maintainer: Adam Mantz <amantz at slac.stanford.edu>
License: MIT + file LICENSE
URL: https://github.com/abmantz/lrgs
NeedsCompilation: no
CRAN checks: lrgs results

Downloads:

Reference manual: lrgs.pdf
Package source: lrgs_0.5.1.tar.gz
Windows binaries: r-devel: lrgs_0.5.1.zip, r-release: lrgs_0.5.1.zip, r-oldrel: lrgs_0.5.1.zip
OS X El Capitan binaries: r-release: lrgs_0.5.1.tgz
OS X Mavericks binaries: r-oldrel: lrgs_0.5.1.tgz
Old sources: lrgs archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lrgs to link to this page.