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 |
| 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: RTCC_0.1.1.tgz, r-oldrel: RTCC_0.1.1.tgz |
| Old sources: | RTCC archive |
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