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.

brsim 0.3

vers 0.2

• The facility to reorder the rendered heatmap and to show the located clusters has been added;
• Updates to the help documentation;
• Relevant literature added to help documentation;
• Minor fixes and amendements to the help documentation;
• Minor internal optimisations.

vers 0.1 first release to CRAN