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. Described further in Mantz (2016) <DOI:10.1093/mnras/stv3008>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.4 |
rolling linux/jammy R-4.5 | lrgs_0.5.4.tar.gz |
51.5 KiB |
0.5.4 |
rolling linux/noble R-4.5 | lrgs_0.5.4.tar.gz |
51.4 KiB |
0.5.4 |
rolling source/ R- | lrgs_0.5.4.tar.gz |
11.0 KiB |
0.5.4 |
latest linux/jammy R-4.5 | lrgs_0.5.4.tar.gz |
51.5 KiB |
0.5.4 |
latest linux/noble R-4.5 | lrgs_0.5.4.tar.gz |
51.4 KiB |
0.5.4 |
latest source/ R- | lrgs_0.5.4.tar.gz |
11.0 KiB |
0.5.4 |
2026-04-26 source/ R- | lrgs_0.5.4.tar.gz |
11.0 KiB |
0.5.4 |
2026-04-23 source/ R- | lrgs_0.5.4.tar.gz |
11.0 KiB |
0.5.4 |
2026-04-09 windows/windows R-4.5 | lrgs_0.5.4.zip |
53.9 KiB |
0.5.4 |
2025-04-20 source/ R- | lrgs_0.5.4.tar.gz |
11.0 KiB |