Package: RTCC 0.1.1

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.

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

RTCC_0.1.1.tar.gz
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RTCC.pdf |RTCC.html
RTCC/json (API)
NEWS

# Install 'RTCC' in R:
install.packages('RTCC', repos = c('https://mateumenendez.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.36 score 41 dependencies 1 mentions 2 scripts 139 downloads

Last updated 4 years agofrom:028d47d02e. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-win-x86_64OKSep 07 2024
R-4.5-linux-x86_64OKSep 07 2024
R-4.4-win-x86_64OKSep 07 2024
R-4.4-mac-x86_64OKSep 07 2024
R-4.4-mac-aarch64OKSep 07 2024
R-4.3-win-x86_64OKSep 07 2024
R-4.3-mac-x86_64OKSep 07 2024
R-4.3-mac-aarch64OKSep 07 2024

Exports:rtcc1rtcc2rtcc3

Dependencies:briocallrcliclustercrayondescdiffobjdigestevaluatefansifsgluejsonlitelatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvnlmepermutepillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6Rcpprematch2rlangrprojroottestthattibbleutf8vctrsveganwaldowithr