RTCC: Detecting Trait Clustering in Environmental Gradients

The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019, <doi:10.1038/s41396-019-0454-4>) 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.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: matrixStats, vegan, Rcpp
LinkingTo: testthat, Rcpp
Suggests: testthat, knitr, rmarkdown
Published: 2020-06-12
DOI: 10.32614/CRAN.package.RTCC
Author: Mateu Menendez-Serra, Vicente J. Ontiveros, Emilio O. Casamayor, David Alonso
Maintainer: Mateu Menendez-Serra <mateu.menendez at ceab.csic.es>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: RTCC results


Reference manual: RTCC.pdf


Package source: RTCC_0.1.1.tar.gz
Windows binaries: r-devel: RTCC_0.1.1.zip, r-release: RTCC_0.1.1.zip, r-oldrel: RTCC_0.1.1.zip
macOS binaries: r-release (arm64): RTCC_0.1.1.tgz, r-oldrel (arm64): RTCC_0.1.1.tgz, r-release (x86_64): RTCC_0.1.1.tgz, r-oldrel (x86_64): RTCC_0.1.1.tgz
Old sources: RTCC archive


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