brsim: Brainerd-Robinson Similarity Coefficient Matrix

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>
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:, r-release:, r-oldrel:
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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