Package: cobiclust 0.1.0

Julie Aubert

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.

Authors:Julie Aubert [aut, cre], INRAE [cph]

cobiclust_0.1.0.tar.gz
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cobiclust_0.1.0.tgz(r-4.4-any)cobiclust_0.1.0.tgz(r-4.3-any)
cobiclust_0.1.0.tar.gz(r-4.5-noble)cobiclust_0.1.0.tar.gz(r-4.4-noble)
cobiclust_0.1.0.tgz(r-4.4-emscripten)cobiclust_0.1.0.tgz(r-4.3-emscripten)
cobiclust.pdf |cobiclust.html✨
cobiclust/json (API)
NEWS

# Install 'cobiclust' in R:

install.packages('cobiclust', repos = c('https://julieaubert.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/julieaubert/cobiclust/issues

On CRAN:

2.70 score 1 stars 7 scripts 199 downloads 12 exports 1 dependencies

Last updated 4 years agofrom:834fdb2a4e. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win	NOTE	Oct 31 2024
R-4.5-linux	NOTE	Oct 31 2024
R-4.4-win	NOTE	Oct 31 2024
R-4.4-mac	NOTE	Oct 31 2024
R-4.3-win	OK	Oct 31 2024
R-4.3-mac	OK	Oct 31 2024