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EMVS  

The Expectation-Maximization Approach to Bayesian Variable Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EMVS", "1.2.1")



Attach the package and use:
library("EMVS")
Maintained by
Gemma Moran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-24
Latest Update: 2022-12-05
Description:
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George 2014 doi10.108001621459.2013.869223.
How to cite:
Gemma Moran (2018). EMVS: The Expectation-Maximization Approach to Bayesian Variable Selection. R package version 1.2.1, https://cran.r-project.org/web/packages/EMVS. Accessed 17 Feb. 2025.
Previous versions and publish date:
1.0 (2018-04-24 10:13), 1.1 (2019-12-14 00:20), 1.2.1 (2021-10-13 17:12)
Other packages that cited EMVS R package
View EMVS citation profile
Other R packages that EMVS depends, imports, suggests or enhances
Functions, R codes and Examples using the EMVS R package
Full EMVS package functions and examples
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