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>.
| Version: | 1.2.1 |
| Imports: | Rcpp (≥ 0.12.16), methods |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-10-13 |
| Author: | Veronika Rockova [aut,cre], Gemma Moran [aut] |
| Maintainer: | Gemma Moran <gm2918 at columbia.edu> |
| License: | GPL-3 |
| URL: | https://doi.org/10.1080/01621459.2013.869223 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | EMVS results |
| Reference manual: | EMVS.pdf |
| Vignettes: |
EMVS Vignette |
| Package source: | EMVS_1.2.1.tar.gz |
| Windows binaries: | r-devel: EMVS_1.2.1.zip, r-release: EMVS_1.2.1.zip, r-oldrel: EMVS_1.2.1.zip |
| macOS binaries: | r-release (arm64): EMVS_1.2.1.tgz, r-oldrel (arm64): EMVS_1.2.1.tgz, r-release (x86_64): EMVS_1.2.1.tgz, r-oldrel (x86_64): EMVS_1.2.1.tgz |
| Old sources: | EMVS archive |
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