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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 |
| 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:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=coca
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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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