slfm: Tools for Fitting Sparse Latent Factor Model

Set of tools to find coherent patterns in microarray data using a Bayesian sparse latent factor model (Duarte and Mayrink 2015 - http://link.springer.com/chapter/10.1007%2F978-3-319-12454-4_15). 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. It implements versions of the SLFM using both type of mixtures: using a degenerate distribution or a very concentrated normal distribution for the spike part of the mixture. It also implements additional functions to help pre-process the data and fit the model for a large number of arrays.

Version: 0.2.2
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.11.0), coda, lattice
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-08-10
Author: Joao Duarte and Vinicius Mayrink
Maintainer: Joao Duarte <jdanielnd at gmail.com>
BugReports: https://github.com/jdanielnd/slfm/issues
License: GPL-2
URL: https://github.com/jdanielnd/slfm
NeedsCompilation: yes
Materials: NEWS
CRAN checks: slfm results

Downloads:

Reference manual: slfm.pdf
Package source: slfm_0.2.2.tar.gz
Windows binaries: r-devel: slfm_0.2.2.zip, r-release: slfm_0.2.2.zip, r-oldrel: slfm_0.2.2.zip
OS X binaries: r-release: slfm_0.2.2.tgz, r-oldrel: not available
Old sources: slfm archive

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