slfm is a set of tools to find coherent patterns in microarray data using a Bayesian sparse latent factor model. Considerable effort has been put into making slfm fast and memory efficient, turning it an interesting alternative to simpler methods in terms of execution time.
| Version: | 0.1 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp (≥ 0.11.0), coda |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2014-05-08 |
| Author: | Joao Duarte and Vinicius Mayrink |
| Maintainer: | Joao Duarte <jdanielnd at gmail.com> |
| License: | GPL-2 |
| URL: | https://github.com/jdanielnd/slfm |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | slfm results |
| Reference manual: | slfm.pdf |
| Package source: | slfm_0.1.tar.gz |
| Windows binaries: | r-devel: slfm_0.1.zip, r-release: slfm_0.1.zip, r-oldrel: not available |
| OS X Snow Leopard binaries: | r-release: slfm_0.1.tgz, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: slfm_0.1.tgz |