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)
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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'))

Peer review:

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

On CRAN:

12 exports 1 stars 0.75 score 1 dependencies 7 scripts 360 downloads

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

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winNOTEAug 20 2024
R-4.5-linuxNOTEAug 20 2024
R-4.4-winNOTEAug 20 2024
R-4.4-macNOTEAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:alpha_calculationcobiclustcobiclusteringdichofoo_ainit_pamis.cobiclusteringlb_calculationpenaltyqu_calculationqukg_calculationselection_criteria

Dependencies:cluster