Detecting Trait Clustering in Environmental Gradients

The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019, ) is a statistical approach which allows to determine whether if an observed trait clustering pattern is related to an increasing environmental constrain. The method 1) determines whether exists or not a trait clustering on the sampled communities and 2) assess if the observed clustering signal is related or not to an increasing environmental constrain along an environmental gradient. Also, when the effect of the environmental gradient is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.


Reference manual

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0.1.1 by Mateu Menendez-Serra, 4 months ago

Browse source code at

Authors: Mateu Menendez-Serra , Vicente J. Ontiveros , Emilio O. Casamayor , David Alonso

Documentation:   PDF Manual  

GPL-3 license

Imports matrixStats, vegan, Rcpp

Suggests testthat, knitr, rmarkdown

Linking to testthat, Rcpp

See at CRAN