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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>.
Package details |
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Author | Adam Mantz |
Maintainer | Adam Mantz <amantz@slac.stanford.edu> |
License | MIT + file LICENSE |
Version | 0.5.4 |
URL | https://github.com/abmantz/lrgs |
Package repository | View on CRAN |
Installation |
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