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: | 0.5.4 |
| Date: | 2018-05-17 |
| License: | MIT |
| LazyLoad: | yes |
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