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
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:

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