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 ORCID iD [aut, cre], INRAE [cph]
Maintainer: Julie Aubert <julie.aubert at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: cobiclust results


Reference manual: cobiclust.pdf


Package source: cobiclust_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.