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 gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	brsim results

Documentation:

Reference manual:

brsim.pdf

Downloads:

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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