funrar: Functional Rarity Indices Computation

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: 1.2.1
Depends: R (≥ 3.2.2)
Imports: cluster, dplyr (≥ 0.4.3), methods, stats
Suggests: ade4, ggplot2, knitr, Matrix, rmarkdown, testthat, tidytext
Published: 2018-02-19
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://github.com/Rekyt/funrar
NeedsCompilation: no
Citation: funrar citation info
Materials: README NEWS
CRAN checks: funrar results

Downloads:

Reference manual: funrar.pdf
Vignettes: How to use funrar, an example with plant communities dataset
Sparse Marices with funrar
Package source: funrar_1.2.1.tar.gz
Windows binaries: r-devel: funrar_1.2.1.zip, r-release: funrar_1.2.1.zip, r-oldrel: funrar_1.2.0.zip
OS X El Capitan binaries: r-release: funrar_1.2.1.tgz
OS X Mavericks binaries: r-oldrel: funrar_1.2.0.tgz
Old sources: funrar archive

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