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.

AuthorAdam Mantz
Date of publication2016-07-30 23:15:45
MaintainerAdam Mantz <amantz@slac.stanford.edu>
LicenseMIT + file LICENSE
Version0.5.1
https://github.com/abmantz/lrgs

View on CRAN

Files in this package

lrgs
lrgs/NAMESPACE
lrgs/R
lrgs/R/lrgs.R
lrgs/MD5
lrgs/DESCRIPTION
lrgs/man
lrgs/man/lrgs-package.Rd lrgs/man/Gibbs.regression.Rd lrgs/man/Gibbs.post2dataframe.Rd
lrgs/LICENSE

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