Package: brsim
Title: Brainerd-Robinson Similarity Coefficient Matrix
Version: 0.3
Authors@R: person("Gianmarco", "Alberti", email = "gianmarcoalberti@gmail.com", role = c("aut", "cre"))
Description: 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.
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)
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-12-12 06:06:40 UTC; gianmarcoalberti
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-12 07:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:07:24 UTC; unix
