Package: EMVS
Type: Package
Title: The Expectation-Maximization Approach to Bayesian Variable
        Selection
Version: 1.1
Date: 2019-12-13
Author: Veronika Rockova [aut,cre], Gemma Moran [aut]
Maintainer: Gemma Moran <gm2918@columbia.edu>
Description: 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>.
License: GPL-3
URL: https://doi.org/10.1080/01621459.2013.869223
Imports: Rcpp (>= 0.12.16), methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2019-12-13 19:11:11 UTC; gem
Repository: CRAN
Date/Publication: 2019-12-13 23:20:21 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:12:19 UTC; windows
Archs: i386, x64
