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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 Cabassi ORCID iD [aut, cre], Paul DW Kirk ORCID iD [ths]
Maintainer: Alessandra Cabassi <alessandra.cabassi at mrc-bsu.cam.ac.uk>
BugReports: http://github.com/acabassi/coca/issues
License: MIT + file LICENSE
URL: http://github.com/acabassi/coca
NeedsCompilation: no
Citation: coca citation info
Materials: README
CRAN checks: coca results

Documentation:

Reference manual: coca.pdf
Vignettes: Introduction to coca

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 form https://CRAN.R-project.org/package=coca to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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