lrgs-package: Linear Regression by Gibbs Sampling

Description Details Author(s)

Description

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.

Details

Package: lrgs
Type: Package
Version: 0.5.3
Date: 2016-12-15
License: MIT
LazyLoad: yes

See help for Gibbs.regression

Author(s)

Adam Mantz <[email protected]>


lrgs documentation built on Dec. 2, 2017, 1:07 a.m.