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.


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install.packages("lrgs")

0.5.3 by Adam Mantz, a year ago


https://github.com/abmantz/lrgs


Browse source code at https://github.com/cran/lrgs


Authors: Adam Mantz


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports mvtnorm


See at CRAN