Linear Regression by Gibbs Sampling

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.

Details

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

See help for Gibbs.regression

Author(s)

Adam Mantz <amantz@slac.stanford.edu>