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: 1.6-10
Imports: ape, EntropyEstimation, ggplot2, ggpubr, graphics, grDevices, parallel, reshape2, rlang, stats, tibble, utils, vegan
Suggests: ade4, knitr, pkgdown, rmarkdown, testthat
Published: 2022-04-02
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://github.com/EricMarcon/entropart
NeedsCompilation: no
SystemRequirements: pandoc
Citation: entropart citation info
Materials: README NEWS
CRAN checks: entropart results

Documentation:

Reference manual: entropart.pdf
Vignettes: Introduction to entropart

Downloads:

Package source: entropart_1.6-10.tar.gz
Windows binaries: r-devel: entropart_1.6-10.zip, r-release: entropart_1.6-10.zip, r-oldrel: entropart_1.6-10.zip
macOS binaries: r-release (arm64): entropart_1.6-9.tgz, r-release (x86_64): entropart_1.6-10.tgz, r-oldrel: entropart_1.6-10.tgz
Old sources: entropart archive

Reverse dependencies:

Reverse imports: HierDpart, inpdfr
Reverse suggests: cati, diverse

Linking:

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