lrgs: 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.

Package details

AuthorAdam Mantz
MaintainerAdam Mantz <amantz@slac.stanford.edu>
LicenseMIT + file LICENSE
Version0.5.3
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")

Try the lrgs package in your browser

Any scripts or data that you put into this service are public.

lrgs documentation built on May 2, 2019, 8:25 a.m.