cobiclust: Biclustering via Latent Block Model Adapted to Overdispersed Count Data

Implementation of a probabilistic method for biclustering adapted to overdispersed count data. It is a Gamma-Poisson Latent Block Model. It also implements two selection criteria in order to select the number of biclusters.

Version:	0.1.0
Imports:	cluster
Published:	2018-10-15
Author:	Julie Aubert
Maintainer:	Julie Aubert <julie.aubert at agroparistech.fr>
License:	GPL-2
NeedsCompilation:	no
Materials:	README
CRAN checks:	cobiclust results

Documentation:

Reference manual:

cobiclust.pdf

Downloads:

Package source:	cobiclust_0.1.0.tar.gz
Windows binaries:	r-devel: cobiclust_0.1.0.zip, r-release: cobiclust_0.1.0.zip, r-oldrel: cobiclust_0.1.0.zip
macOS binaries:	r-release (arm64): cobiclust_0.1.0.tgz, r-oldrel (arm64): cobiclust_0.1.0.tgz, r-release (x86_64): cobiclust_0.1.0.tgz, r-oldrel (x86_64): cobiclust_0.1.0.tgz

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