CRAN/E | mFD

mFD

Compute and Illustrate the Multiple Facets of Functional Diversity

Installation

About

Computing functional traits-based distances between pairs of species for species gathered in assemblages allowing to build several functional spaces. The package allows to compute functional diversity indices assessing the distribution of species (and of their dominance) in a given functional space for each assemblage and the overlap between assemblages in a given functional space, see: Chao et al. (2018) doi:10.1002/ecm.1343, Maire et al. (2015) doi:10.1111/geb.12299, Mouillot et al. (2013) doi:10.1016/j.tree.2012.10.004, Mouillot et al. (2014) doi:10.1073/pnas.1317625111, Ricotta and Szeidl (2009) doi:10.1016/j.tpb.2009.10.001. Graphical outputs are included. Visit the 'mFD' website for more information, documentation and examples.

Citation mFD citation info
cmlmagneville.github.io/mFD/
github.com/CmlMagneville/mFD
Bug report File report

Key Metrics

Version 1.0.7
R ≥ 3.5
Published 2024-02-26 58 days ago
Needs compilation? no
License GPL-2
CRAN checks mFD results

Downloads

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Last 30 days 589 -16%
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Last 365 days 7.610 +32%

Maintainer

Maintainer

Camille Magneville

camille.magneville@gmail.com

Authors

Camille Magneville

aut / cre / cph

Nicolas Loiseau

aut

Camille Albouy

aut

Nicolas Casajus

aut

Thomas Claverie

aut

Arthur Escalas

aut

Fabien Leprieur

aut

Eva Maire

aut

David Mouillot

aut

Sebastien Villeger

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Compute and Interpret Quality of Functional Spaces
Compute Functional Diversity Hill Indices
Continuous Traits Framework
Customised plots
How to Deal With Functional Entities
mFD: General Workflow

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mFD archive

Depends

R ≥ 3.5

Imports

ade4
ape
betapart ≥ 1.5.4
cluster
dendextend
FactoMineR
gawdis
geometry
ggplot2
ggrepel
grid
Hmisc
patchwork
reshape2
rstatix
stats
utils
vegan

Suggests

dplyr ≥ 1.0.6
knitr
magrittr
rmarkdown ≥ 2.6
stringr
tibble
tidyr