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.

Version: 1.1.0
Depends: R (≥ 3.2.2)
Imports: cluster, dplyr (≥ 0.4.3), methods, stats
Suggests: ade4, ggplot2, knitr, Matrix, microbenchmark, reshape2, rmarkdown, StatMatch, testthat
Published: 2017-05-24
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_1.1.0.tar.gz
Windows binaries: r-devel: funrar_1.1.0.zip, r-release: funrar_1.1.0.zip, r-oldrel: funrar_1.1.0.zip
OS X El Capitan binaries: r-release: funrar_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: funrar_1.1.0.tgz
Old sources: funrar archive

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