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.
See help for Gibbs.regression
Adam Mantz <firstname.lastname@example.org>
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