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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:	0.1.2
Depends:	R (≥ 3.5.0)
Imports:	assertthat, cluster, stats, testthat
Suggests:	spelling
Published:	2024-02-16
DOI:	10.32614/CRAN.package.cobiclust
Author:	Julie Aubert [aut, cre], INRAE [cph]
Maintainer:	Julie Aubert <julie.aubert at inrae.fr>
BugReports:	https://github.com/julieaubert/cobiclust/issues
License:	GPL-3
URL:	https://github.com/julieaubert/cobiclust
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	cobiclust results

Documentation:

Reference manual:

cobiclust.pdf

Downloads:

Package source:	cobiclust_0.1.2.tar.gz
Windows binaries:	r-devel: cobiclust_0.1.2.zip, r-release: cobiclust_0.1.2.zip, r-oldrel: cobiclust_0.1.2.zip
macOS binaries:	r-release (arm64): cobiclust_0.1.2.tgz, r-oldrel (arm64): cobiclust_0.1.2.tgz, r-release (x86_64): cobiclust_0.1.2.tgz, r-oldrel (x86_64): cobiclust_0.1.2.tgz
Old sources:	cobiclust archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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