This package is considered a duplicate. The official version of this package is found at:https://acabassi.r-universe.dev/coca

Package: coca 1.1.0

Alessandra Cabassi

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>.

Authors:Alessandra Cabassi [aut, cre], Paul DW Kirk [ths]

coca_1.1.0.tar.gz
coca_1.1.0.zip(r-4.7)coca_1.1.0.zip(r-4.6)coca_1.1.0.zip(r-4.5)
coca_1.1.0.tgz(r-4.6-any)coca_1.1.0.tgz(r-4.5-any)
coca_1.1.0.tar.gz(r-4.7-any)coca_1.1.0.tar.gz(r-4.6-any)
coca_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
coca/json (API)

# Install 'coca' in R:

install.packages('coca', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/acabassi/coca/issues

On CRAN:

archived packages r-universe

4.27 score 5 stars 1 packages 25 scripts 278 downloads 1 mentions 8 exports 87 dependencies

Last updated from:97c71fa39c (on package/coca). Checks:7 NOTE, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	NOTE	140
source / vignettes	OK	244
linux-release-x86_64	NOTE	138
macos-release-arm64	NOTE	91
macos-oldrel-arm64	NOTE	90
windows-devel	NOTE	98
windows-release	NOTE	98
windows-oldrel	NOTE	99
wasm-release	OK	113

Exports:buildMOC chooseKusingAUC coca consensusCluster expandMOC fillMOC maximiseSilhouette plotMOC

Dependencies:caret class cli clock cluster codetools cpp11 data.table DEoptimR diagram digest diptest dplyr e1071 farver flexmix foreach fpc future future.apply generics ggplot2 glmnet globals glue gower gtable hardhat ipred isoband iterators kernlab KernSmooth labeling lattice lava lifecycle listenv lubridate magrittr MASS Matrix mclust ModelMetrics modeltools nlme nnet numDeriv parallelly pheatmap pillar pkgconfig plyr prabclus pROC prodlim progressr proxy purrr R6 RColorBrewer Rcpp RcppEigen recipes reshape2 rlang robustbase rpart S7 scales shape sparcl sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tzdb utf8 vctrs viridisLite withr

Introduction to coca

Alessandra Cabassi

Rendered fromcoca-vignette.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2026-06-11
Started: 2026-06-11

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Build Matrix-Of-Clusters	buildMOC
Choose number of clusters based on AUC	chooseKusingAUC
Cluster-Of-Clusters Analysis	coca
Consensus clustering	consensusCluster
Expand matrix of clusters	expandMOC
Fill Matrix-Of-Clusters	fillMOC
Choose K that maximises the silhouette from a set of kernel matrices and clusterings	maximiseSilhouette
Plot Matrix-Of-Clusters	plotMOC