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. Described further in Mantz (2016) .


Reference manual

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0.5.4 by Adam Mantz, a year ago

Browse source code at

Authors: Adam Mantz

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports mvtnorm

See at CRAN