Entropy Partitioning to Measure Diversity [R package entropart version 1.6-16]

entropart: Entropy Partitioning to Measure Diversity

Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'entropart' provides functions to calculate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity. Estimation-bias corrections are available.

Version: 1.6-16

Imports: ape, EntropyEstimation, ggplot2, ggpubr, graphics, grDevices, parallel, reshape2, rlang, stats, tibble, utils, vegan

Suggests: ade4, knitr, pkgdown, rmarkdown, testthat

Published: 2025年02月07日

DOI: 10.32614/CRAN.package.entropart

Author: Eric Marcon ORCID iD [aut, cre], Bruno Herault ORCID iD [aut]

Maintainer: Eric Marcon <eric.marcon at agroparistech.fr>

BugReports: https://github.com/EricMarcon/entropart/issues/

License: GPL-2 | GPL-3 [expanded from: GNU General Public License]

URL: https://ericmarcon.github.io/entropart/, https://github.com/EricMarcon/entropart/

NeedsCompilation: no

SystemRequirements: pandoc