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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>.
| Version: | 0.5.4 |
| Imports: | mvtnorm |
| Published: | 2020-08-11 |
| Author: | Adam Mantz |
| Maintainer: | Adam Mantz <amantz at slac.stanford.edu> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/abmantz/lrgs |
| NeedsCompilation: | no |
| CRAN checks: | lrgs results |
| Reference manual: | lrgs.pdf |
| Package source: | lrgs_0.5.4.tar.gz |
| Windows binaries: | r-devel: lrgs_0.5.4.zip, r-release: lrgs_0.5.4.zip, r-oldrel: lrgs_0.5.4.zip |
| macOS binaries: | r-release (arm64): lrgs_0.5.4.tgz, r-oldrel (arm64): lrgs_0.5.4.tgz, r-release (x86_64): lrgs_0.5.4.tgz, r-oldrel (x86_64): lrgs_0.5.4.tgz |
| Old sources: | lrgs archive |
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