Brainerd-Robinson Similarity Coefficient Matrix R package brsim version 0.3 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. Software 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) Gianmarco Alberti <gianmarcoalberti@gmail.com> Comprehensive R Archive Network (CRAN) Gianmarco Alberti [aut, cre] GPL (>= 2) 2023-12-12 application/tgz https://CRAN.R-project.org/package=brsim doi:10.32614/CRAN.package.brsim