Package: lrgs
Type: Package
Title: Linear Regression by Gibbs Sampling
Version: 0.5.4
Date: 2020-08-10
Author: Adam Mantz
Maintainer: Adam Mantz <amantz@slac.stanford.edu>
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. Described further in Mantz (2016)
        <DOI:10.1093/mnras/stv3008>.
License: MIT + file LICENSE
LazyLoad: yes
Imports: mvtnorm
URL: https://github.com/abmantz/lrgs
NeedsCompilation: no
Packaged: 2026-09-24 08:20:01 UTC; root
Repository: https://abmantz.r-universe.dev
Date/Publication: 2020-08-11 13:20:03 UTC
RemoteUrl: https://github.com/cran/lrgs
RemoteRef: HEAD
RemoteSha: dc832c3660b685dacb53c54c1e3851c71c78ba7c