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 [aut, cre], Paul DW Kirk [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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