Package: lrgs
Type: Package
Title: Linear Regression by Gibbs Sampling
Version: 0.5.4
Date: 2020-08-10
Author: Adam Mantz
Maintainer: Adam Mantz <amantz@slac.stanford.edu>
Description: 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>.
License: MIT + file LICENSE
LazyLoad: yes
Imports: mvtnorm
URL: https://github.com/abmantz/lrgs
NeedsCompilation: no
Packaged: 2020-08-10 22:22:10 UTC; amantz
Repository: CRAN
Date/Publication: 2020-08-11 14:20:03 UTC
Built: R 4.6.0; ; 2026-04-25 20:07:14 UTC; unix
