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)cobiclust_0.1.0.zip(r-4.6)cobiclust_0.1.0.zip(r-4.5)
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✨
card.svg |card.png
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:

Conda:

2.93 score 1 stars 17 scripts 233 downloads 12 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE114
source / vignettesOK123
linux-release-x86_64NOTE105
macos-release-arm64NOTE123
macos-oldrel-arm64NOTE124
windows-develNOTE59
windows-releaseNOTE62
windows-oldrelNOTE187
wasm-releaseOK109

Exports:alpha_calculationcobiclustcobiclusteringdichofoo_ainit_pamis.cobiclusteringlb_calculationpenaltyqu_calculationqukg_calculationselection_criteria

Dependencies:cluster