Community Assembly by Traits: Individuals and Beyond

Detect and quantify community assembly processes using trait values of individuals or populations, the T-statistics and other metrics, and dedicated null models. Provides tools to analyse 'intraspecific' trait variability and its consequences for community assembly. Implements a framework using individual-level trait data to decompose variance at the population, species, and community levels. Methods are described in 'Taudiere' and 'Violle' (2016) .


cati: Communities Assembly by Traits: Individuals and beyond

GPLv3 CRAN by month CRAN Total DOI

A R package to detect communities assembly processes by functionnal traits

The package is described in Ecography: cati: an R package using functional traits to detect and quantify multi-level community assembly processes.

Install the latest versions of all dependencies from CRAN:

install.packages(c("devtools", "e1071", "mice", "rasterVis", "hypervolume", "cluster", "geometry", "vegan", "nlme", "ade4", "ape"))

Install cati's current development version from Github:

devtools::install_github("adrientaudiere/cati")

Install cati's cran version:

install.packages("cati")

Attach the package and you are ready to start:

library(cati)

There's a tutorial which illustrate the cati package using Darwin finches data.

How to cite?

"Taudiere, A. and Violle, C. (2016), cati: an R package using functional traits to detect and quantify multi-level community assembly processes. Ecography. doi: 10.1111/ecog.01433"

Reference manual

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install.packages("cati")

0.99.6 by Adrien Taudiere, 6 months ago


https://github.com/adrientaudiere/cati, https://adrientaudiere.github.io/cati/


Report a bug at https://github.com/adrientaudiere/cati/issues


Browse source code at https://github.com/cran/cati


Authors: Adrien Taudiere [aut, cre, cph] (ORCID: , Cyrille Violle [aut] , François Munoz [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports e1071, rasterVis, hypervolume, cluster, geometry, vegan

Depends on nlme, ade4, ape

Suggests lattice, entropart, fBasics, picante, mice, knitr, testthat


See at CRAN