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cobiclust  

Biclustering via Latent Block Model Adapted to Overdispersed Count Data
View on CRAN: Click here


Download and install cobiclust package within the R console
Install from CRAN:
install.packages("cobiclust")

Install from Github:
library("remotes")
install_github("cran/cobiclust")

Install by package version:
library("remotes")
install_version("cobiclust", "0.1.2")



Attach the package and use:
library("cobiclust")
Maintained by
Julie Aubert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-15
Latest Update: 2024-02-16
Description:
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.
How to cite:
Julie Aubert (2018). cobiclust: Biclustering via Latent Block Model Adapted to Overdispersed Count Data. R package version 0.1.2, https://cran.r-project.org/web/packages/cobiclust. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2018-10-15 20:50)
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Complete documentation for cobiclust
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