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coca: Cluster-of-Clusters Analysis

Contains the R functions needed to perform Cluster-Of-Clusters Analysis (COCA) and Consensus Clustering (CC). For further details please see Cabassi and Kirk (2020) <doi:10.1093/bioinformatics/btaa593>.

Version:1.1.0
Depends:R (≥ 3.5.0)
Imports:caret,cluster,fpc,glmnet,Matrix,nnet,pheatmap,RColorBrewer,sparcl, stats
Suggests:knitr,mclust,rmarkdown
Published:2020-07-06
DOI:10.32614/CRAN.package.coca
Author:Alessandra CabassiORCID iD [aut, cre], Paul DW KirkORCID iD [ths]
Maintainer:Alessandra Cabassi <alessandra.cabassi at mrc-bsu.cam.ac.uk>
BugReports:http://github.com/acabassi/coca/issues
License:MIT + fileLICENSE
URL:http://github.com/acabassi/coca
NeedsCompilation:no
Citation:coca citation info
Materials:README
CRAN checks:coca results

Documentation:

Reference manual:coca.html ,coca.pdf
Vignettes:Introduction to coca (source,R code)

Downloads:

Package source: coca_1.1.0.tar.gz
Windows binaries: r-devel:coca_1.1.0.zip, r-release:coca_1.1.0.zip, r-oldrel:coca_1.1.0.zip
macOS binaries: r-release (arm64):coca_1.1.0.tgz, r-oldrel (arm64):coca_1.1.0.tgz, r-release (x86_64):coca_1.1.0.tgz, r-oldrel (x86_64):coca_1.1.0.tgz
Old sources: coca archive

Reverse dependencies:

Reverse imports:klic

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cocato link to this page.


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