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:Adam Mantz

lrgs_0.5.4.tar.gz
lrgs_0.5.4.zip(r-4.7-any)lrgs_0.5.4.zip(r-4.6-any)lrgs_0.5.4.zip(r-4.5-any)
lrgs_0.5.4.tgz(r-4.6-any)lrgs_0.5.4.tgz(r-4.5-any)
lrgs_0.5.4.tar.gz(r-4.7-any)lrgs_0.5.4.tar.gz(r-4.6-any)
lrgs_0.5.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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

On CRAN:

Conda:

1.00 score 3 scripts 255 downloads 2 exports 1 dependencies

Last updated from:dc832c3660. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK126
source / vignettesOK170
linux-releaseOK124
macos-releaseOK161
macos-oldrelOK182
windows-develOK67
windows-releaseOK63
windows-oldrelOK50
wasm-releaseOK88

Exports:Gibbs.post2dataframeGibbs.regression

Dependencies:mvtnorm