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lrgs  

Linear Regression by Gibbs Sampling
View on CRAN: Click here


Download and install lrgs package within the R console
Install from CRAN:
install.packages("lrgs")

Install from Github:
library("remotes")
install_github("cran/lrgs")

Install by package version:
library("remotes")
install_version("lrgs", "0.5.4")



Attach the package and use:
library("lrgs")
Maintained by
Adam Mantz
[Scholar Profile | Author Map]
First Published: 2015-09-05
Latest Update: 2020-08-11
Description:
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) .
How to cite:
Adam Mantz (2015). lrgs: Linear Regression by Gibbs Sampling. R package version 0.5.4, https://cran.r-project.org/web/packages/lrgs. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.4.2 (2015-09-05 09:32), 0.5.1 (2016-07-30 23:15), 0.5.3 (2017-12-02 00:14)
Other packages that cited lrgs R package
View lrgs citation profile
Other R packages that lrgs depends, imports, suggests or enhances
Complete documentation for lrgs
Functions, R codes and Examples using the lrgs R package
Some associated functions: Gibbs.post2dataframe . Gibbs.regression . lrgs-package . 
Some associated R codes: lrgs.R .  Full lrgs package functions and examples
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