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EMVS (version 1.2.1)

The Expectation-Maximization Approach to Bayesian Variable Selection

Description

An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George (2014) .

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Version

Install

install.packages('EMVS')

Monthly Downloads

58

Version

1.2.1

License

GPL-3

Maintainer

Gemma Moran

Last Published

October 13th, 2021

Functions in EMVS (1.2.1)

EMVSbest

Select the Best Model with EMVS
EMVSsummary

Select the Best Model with EMVS
EMVS

Bayesian Variable Selection using EM Algorithm
EMVSplot

Spike-and-slab Dynamic Posterior Exploration