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Provides the facility to calculate the Brainerd-Robinson similarity coefficient for the rows of an input table, and to calculate the significance of each coefficient based on a permutation approach; a heatmap is produced to visually represent the similarity matrix. Optionally, hierarchical agglomerative clustering can be performed and the silhouette method is used to identify an optimal number of clusters; the results of the clustering can be optionally used to sort the heatmap.
| Version: | 0.3 |
| Depends: | R (≥ 4.0.0) |
| Imports: | cluster (≥ 2.1.4), corrplot (≥ 0.92), grDevices (≥ 4.0.0), RcmdrMisc (≥ 2.7.0), stats (≥ 4.0.0) |
| Published: | 2023-12-12 |
| DOI: | 10.32614/CRAN.package.brsim |
| Author: | Gianmarco Alberti [aut, cre] |
| Maintainer: | Gianmarco Alberti <gianmarcoalberti at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | brsim results |
| Reference manual: | brsim.pdf |
| Package source: | brsim_0.3.tar.gz |
| Windows binaries: | r-devel: brsim_0.3.zip, r-release: brsim_0.3.zip, r-oldrel: brsim_0.3.zip |
| macOS binaries: | r-release (arm64): brsim_0.3.tgz, r-oldrel (arm64): brsim_0.3.tgz, r-release (x86_64): brsim_0.3.tgz, r-oldrel (x86_64): brsim_0.3.tgz |
| Old sources: | brsim archive |
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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.