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

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

On CRAN:

Conda:

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

cpp

1.00 score 2 scripts 160 downloads 1 mentions 3 exports 34 dependencies

Last updated 5 years agofrom:028d47d02e. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-win-x86_64OKMar 09 2025
R-4.5-mac-x86_64OKMar 09 2025
R-4.5-mac-aarch64OKMar 09 2025
R-4.5-linux-x86_64OKMar 09 2025
R-4.4-win-x86_64OKMar 09 2025
R-4.4-mac-x86_64OKMar 09 2025
R-4.4-mac-aarch64OKMar 09 2025
R-4.4-linux-x86_64OKMar 09 2025
R-4.3-win-x86_64OKMar 09 2025
R-4.3-mac-x86_64OKMar 09 2025
R-4.3-mac-aarch64OKMar 09 2025

Exports:rtcc1rtcc2rtcc3

Dependencies:briocallrcliclustercrayondescdiffobjdigestevaluatefsgluejsonlitelatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvnlmepermutepkgbuildpkgloadpraiseprocessxpsR6Rcpprlangrprojroottestthatveganwaldowithr