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.

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
InstallationInstall the latest version of this package by entering the following in R:
install.packages("lrgs")

Getting started

Package overview

Popular man pages

Gibbs.post2dataframe: Linear Regression by Gibbs Sampling
Gibbs.regression: Linear Regression by Gibbs Sampling
lrgs-package: Linear Regression by Gibbs Sampling
See all...

All man pages Function index File listing

Man pages

Gibbs.post2dataframe: Linear Regression by Gibbs Sampling
Gibbs.regression: Linear Regression by Gibbs Sampling
lrgs-package: Linear Regression by Gibbs Sampling

Functions

Gibbs.post2dataframe Man page Source code
Gibbs.regression Man page Source code
dot Source code
lrgs Man page
lrgs-package Man page
rdirichlet Source code
rwishart Source code
symmsolve Source code

Files

NAMESPACE
R
R/lrgs.R
MD5
DESCRIPTION
man
man/lrgs-package.Rd
man/Gibbs.regression.Rd
man/Gibbs.post2dataframe.Rd
LICENSE
lrgs documentation built on May 19, 2017, 1:40 p.m.

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