Package: lrgs 0.5.4
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>.
Authors:
lrgs_0.5.4.tar.gz
lrgs_0.5.4.zip(r-4.5)lrgs_0.5.4.zip(r-4.4)lrgs_0.5.4.zip(r-4.3)
lrgs_0.5.4.tgz(r-4.4-any)lrgs_0.5.4.tgz(r-4.3-any)
lrgs_0.5.4.tar.gz(r-4.5-noble)lrgs_0.5.4.tar.gz(r-4.4-noble)
lrgs_0.5.4.tgz(r-4.4-emscripten)lrgs_0.5.4.tgz(r-4.3-emscripten)
lrgs.pdf |lrgs.html✨
lrgs/json (API)
| # Install 'lrgs' in R: |
| install.packages('lrgs', repos = c('https://abmantz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/abmantz/lrgs/issues
Last updated 4 years agofrom:dc832c3660. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 11 2024 |
| R-4.5-win | OK | Sep 11 2024 |
| R-4.5-linux | OK | Sep 11 2024 |
| R-4.4-win | OK | Sep 11 2024 |
| R-4.4-mac | OK | Sep 11 2024 |
| R-4.3-win | OK | Sep 11 2024 |
| R-4.3-mac | OK | Sep 11 2024 |
Exports:Gibbs.post2dataframeGibbs.regression
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Linear Regression by Gibbs Sampling | lrgs-package lrgs |
| Linear Regression by Gibbs Sampling | Gibbs.post2dataframe |
| Linear Regression by Gibbs Sampling | Gibbs.regression |
