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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 ORCID iD [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.