The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=RTCC to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.