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.


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

See help for Gibbs.regression


Adam Mantz <>

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