A small utility which wraps Rscript and provides access to all R
functions from the shell.

c(
person("Matthias", "Grenié", email = "matthias.grenie@gmail.com", role = c("aut", "cre")),
person("Pierre", "Denelle", email = "pierre.denelle@cefe.cnrs.fr", role = "aut"),
person("Caroline", "Tucker", email = "carolinemtucker@gmail.com", role = "aut")
)
Computes functional rarity indices as proposed by Violle et al (in revision).
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.
cluster, dplyr (>= 0.4.3), methods, stats
ade4, ggplot2, knitr, Matrix, microbenchmark, reshape2,
rmarkdown, StatMatch, testthat
Matthias Grenié [aut, cre],
Pierre Denelle [aut],
Caroline Tucker [aut]

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.

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.

ade4, ggplot2, knitr, Matrix, rmarkdown, testthat

c(
person("Matthias", "Grenié", email = "matthias.grenie@gmail.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4659-7522")),
person("Pierre", "Denelle", email = "pierre.denelle@cefe.cnrs.fr",
role = "aut", comment = c(ORCID = "0000-0001-5037-2281")),
person("Caroline", "Tucker", email = "carolinemtucker@gmail.com",
role = "aut", comment = c(ORCID = "0000-0002-4871-2010")),
person("François", "Munoz", email = "fmunoz@univ-grenoble-alpes.fr",
role = "ths", comment = c(ORCID = "0000-0001-8776-4705")),
person("Cyrille", "Violle", email = "cyrille.violle@cefe.cnrs.fr",
role = "ths", comment = c(ORCID = "0000-0002-2471-9226"))
)
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>.
ade4, ggplot2, knitr, Matrix, rmarkdown, testthat, tidytext