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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