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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