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>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: cobiclust results


Reference manual: cobiclust.pdf


Package source: cobiclust_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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