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MBSGS  

Multivariate Bayesian Sparse Group Selection with Spike and Slab
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MBSGS", "1.1.0")



Attach the package and use:
library("MBSGS")
Maintained by
Benoit Liquet
[Scholar Profile | Author Map]
First Published: 2016-08-27
Latest Update: 2017-08-09
Description:
An implementation of a Bayesian sparse group model using spike and slab priors in a regression context. It is designed for regression with a multivariate response variable, but also provides an implementation for univariate response.
How to cite:
Benoit Liquet (2016). MBSGS: Multivariate Bayesian Sparse Group Selection with Spike and Slab. R package version 1.1.0, https://cran.r-project.org/web/packages/MBSGS. Accessed 14 Mar. 2025.
Previous versions and publish date:
1.0.0 (2016-08-27 00:33)
Other packages that cited MBSGS R package
View MBSGS citation profile
Other R packages that MBSGS depends, imports, suggests or enhances
Complete documentation for MBSGS
Functions, R codes and Examples using the MBSGS R package
Some associated functions: BGLSS . BSGSSS . MBGLSS . MBSGS-internal . MBSGSSS . 
Some associated R codes: BGLSS.R . BSGSSS.R . MBGLSS.R . MBSGS-internal.R . MBSGSSS.R .  Full MBSGS package functions and examples
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