Package: RTCC
Type: Package
Title: Detecting Trait Clustering in Environmental Gradients
Version: 0.1.1
Author: Mateu Menendez-Serra, Vicente J. Ontiveros, Emilio O.
        Casamayor, David Alonso
Maintainer: Mateu Menendez-Serra <mateu.menendez@ceab.csic.es>
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: matrixStats, vegan, Rcpp
Suggests: testthat, knitr, rmarkdown
LinkingTo: testthat, Rcpp
NeedsCompilation: yes
Packaged: 2026-09-24 09:42:41 UTC; root
Depends: R (>= 3.5.0)
Config/pak/sysreqs: cmake make libuv1-dev
Repository: https://mateumenendez.r-universe.dev
Date/Publication: 2020-06-12 16:50:03 UTC
RemoteUrl: https://github.com/cran/RTCC
RemoteRef: HEAD
RemoteSha: 028d47d02e698ac9e074f0fd70aa60252e8ae298