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brsim  

Brainerd-Robinson Similarity Coefficient Matrix
View on CRAN: Click here


Download and install brsim package within the R console
Install from CRAN:
install.packages("brsim")

Install from Github:
library("remotes")
install_github("cran/brsim")

Install by package version:
library("remotes")
install_version("brsim", "0.3")



Attach the package and use:
library("brsim")
Maintained by
Gianmarco Alberti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-15
Latest Update: 2023-12-12
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.
How to cite:
Gianmarco Alberti (2023). brsim: Brainerd-Robinson Similarity Coefficient Matrix. R package version 0.3, https://cran.r-project.org/web/packages/brsim. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2023-05-15 21:20), 0.2 (2023-06-06 11:20)
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Complete documentation for brsim
Functions, R codes and Examples using the brsim R package
Some associated functions: brsim . 
Some associated R codes: Full brsim package functions and examples
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