triversity: Diversity Measures on Tripartite Graphs

Computing diversity measures on tripartite 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 levels of tripartite graphs. By defining an initial distribution at a given level of the graph and a path to follow between the three levels, the probability of the walker's position within the final level is then computed, thus providing a particular instance of diversity to measure.

Version: 1.0
Depends: R (≥ 3.2.3), Matrix, data.tree
Published: 2017-10-11
Author: Robin Lamarche-Perrin [aut, cre]
Maintainer: Robin Lamarche-Perrin <Robin.Lamarche-Perrin at lip6.fr>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: triversity results

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Reference manual: triversity.pdf
Package source: triversity_1.0.tar.gz
Windows binaries: r-devel: triversity_1.0.zip, r-release: triversity_1.0.zip, r-oldrel: triversity_1.0.zip
OS X El Capitan binaries: r-release: triversity_1.0.tgz
OS X Mavericks binaries: r-oldrel: triversity_1.0.tgz

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