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
cobiclust_0.1.0.zip(r-4.7-any)cobiclust_0.1.0.zip(r-4.6-any)cobiclust_0.1.0.zip(r-4.5-any)
cobiclust_0.1.0.tgz(r-4.6-any)cobiclust_0.1.0.tgz(r-4.5-any)
cobiclust_0.1.0.tar.gz(r-4.7-any)cobiclust_0.1.0.tar.gz(r-4.6-any)
cobiclust_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cobiclust/json (API)

# 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:

Conda:

2.95 score 1 stars 18 scripts 314 downloads 12 exports 1 dependencies

Last updated from:834fdb2a4e. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE95
source / vignettesOK168
linux-releaseNOTE89
macos-releaseNOTE125
macos-oldrelNOTE164
windows-develNOTE65
windows-releaseNOTE49
windows-oldrelNOTE66
wasm-releaseOK76

Exports:alpha_calculationcobiclustcobiclusteringdichofoo_ainit_pamis.cobiclusteringlb_calculationpenaltyqu_calculationqukg_calculationselection_criteria

Dependencies:cluster