funrar: Functional Rarity Indices Computation

Computes functional rarity indices as proposed by Violle et al (accepted). 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.

Version: 1.0.2
Depends: R (≥ 3.2.2)
Imports: cluster, dplyr (≥ 0.4.3), methods, stats
Suggests: ade4, ggplot2, knitr, Matrix, microbenchmark, reshape2, rmarkdown, StatMatch, testthat
Published: 2016-11-24
Author: Matthias Grenié [aut, cre], Pierre Denelle [aut], Caroline Tucker [aut]
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
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_1.0.2.tar.gz
Windows binaries: r-devel: funrar_1.0.2.zip, r-release: funrar_1.0.2.zip, r-oldrel: funrar_1.0.2.zip
OS X Mavericks binaries: r-release: funrar_1.0.2.tgz, r-oldrel: funrar_1.0.2.tgz
Old sources: funrar archive

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