lrgs: Linear Regression by Gibbs Sampling
Version 0.5.1

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 details

AuthorAdam Mantz
Date of publication2016-07-30 23:15:45
MaintainerAdam Mantz <amantz@slac.stanford.edu>
LicenseMIT + file LICENSE
Version0.5.1
URL https://github.com/abmantz/lrgs
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lrgs")

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lrgs documentation built on May 29, 2017, 3:51 p.m.