doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity. 'funrar' is presented in Grenié et al. (2017) <doi:10.1111/ddi.12629>.">

funrar: Functional Rarity Indices Computation (original) (raw)

Computes functional rarity indices as proposed by Violle et al. (2017) <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity. 'funrar' is presented in Grenié et al. (2017) <doi:10.1111/ddi.12629>.

Version: 1.5.0
Depends: R (≥ 3.2.2)
Imports: cluster, Matrix, methods, stats
Suggests: ade4, ggplot2, knitr, rmarkdown, testthat (≥ 2.99.0), tidytext
Published: 2022-09-23
DOI: 10.32614/CRAN.package.funrar
Author: Matthias Grenié ORCID iD [aut, cre], Pierre Denelle ORCID iD [aut], Caroline Tucker ORCID iD [aut], François Munoz ORCID iD [ths], Cyrille Violle ORCID iD [ths]
Maintainer: Matthias Grenié <matthias.grenie at gmail.com>
BugReports: https://github.com/Rekyt/funrar/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://rekyt.github.io/funrar/, https://github.com/Rekyt/funrar
NeedsCompilation: no
Citation: funrar citation info
Materials: README, NEWS
CRAN checks: funrar results

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