lrgs-package: Linear Regression by Gibbs Sampling

Description Details Author(s)


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.


Package: lrgs
Type: Package
Version: 0.5.1
Date: 2016-07-30
License: MIT
LazyLoad: yes

See help for Gibbs.regression


Adam Mantz <>

lrgs documentation built on May 29, 2017, 3:51 p.m.