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EMVS: The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George (2014) <doi:10.1080/01621459.2013.869223>.
Getting started
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Package details |
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| Author | Veronika Rockova [aut,cre], Gemma Moran [aut] |
| Maintainer | Gemma Moran <gm2918@columbia.edu> |
| License | GPL-3 |
| Version | 1.2.1 |
| URL | https://doi.org/10.1080/01621459.2013.869223 |
| Package repository | View on CRAN |
| Installation |
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