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: | 1.2.0 |
Depends: | R (≥ 3.2.2) |
Imports: | cluster, dplyr (≥ 0.4.3), methods, stats |
Suggests: | ade4, ggplot2, knitr, Matrix, rmarkdown, testthat |
Published: | 2017-06-30 |
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 |
Reference manual: | funrar.pdf |
Vignettes: |
How to use funrar, an example with plant communities dataset Sparse Marices with funrar |
Package source: | funrar_1.2.0.tar.gz |
Windows binaries: | r-devel: funrar_1.2.0.zip, r-release: funrar_1.2.0.zip, r-oldrel: funrar_1.2.0.zip |
OS X El Capitan binaries: | r-release: funrar_1.2.0.tgz |
OS X Mavericks binaries: | r-oldrel: funrar_1.2.0.tgz |
Old sources: | funrar archive |
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