Lamarche-Perrin/triversity: Diversity Measures on Multipartite Graphs
Version 2.0

Computing diversity measures on multipartite graphs. This package first implements a parametrized family of such diversity measures which apply on probability distributions. Sometimes called "True Diversity", this family contains famous measures such as the richness, the Shannon entropy, the Herfindahl-Hirschman index, and the Berger-Parker index. Second, the package allows to apply these measures on probability distributions resulting from random walks between the parts of multipartite graphs. By defining an initial distribution on a given part of the graph and a path to follow between the different parts, the probability of the walker's position within the final part is then computed, thus providing a particular instance of diversity to measure.

Getting started

Package details

AuthorRobin Lamarche-Perrin [aut, cre]
MaintainerRobin Lamarche-Perrin <[email protected]>
LicenseGPL-3 | file LICENSE
Version2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Lamarche-Perrin/triversity")
Lamarche-Perrin/triversity documentation built on Nov. 22, 2017, 5:34 p.m.