slfm: Tools for fitting sparse latent factor model

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

Downloads:

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