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: 1.3.0
Depends: R (≥ 3.2.2)
Imports: cluster, dplyr (≥ 0.4.3), methods, stats
Suggests: ade4, ggplot2, knitr, Matrix, rmarkdown, testthat (≥ 2.1.0), tidytext
Published: 2019-05-18
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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: funrar citation info
Materials: README NEWS
CRAN checks: funrar results


Reference manual: funrar.pdf
Vignettes: Alternative definition of distinctiveness
How to use 'funrar', an example with plant communities dataset
Sparse Marices with 'funrar'
Package source: funrar_1.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: funrar_1.3.0.tgz, r-oldrel: funrar_1.3.0.tgz
Old sources: funrar archive


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