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RTCC
View on CRAN: Click
here
Download and install RTCC package within the R console
Install from CRAN:
install.packages("RTCC")
Install from Github:
library("remotes")
install_github("cran/RTCC")
Install by package version:
library("remotes")
install_version("RTCC", "0.1.1")
Attach the package and use:
library("RTCC")
Maintained by
Mateu Menendez-Serra
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-31
Latest Update: 2020-06-12
Description:
The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019,
) 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.
How to cite:
Mateu Menendez-Serra (2020). RTCC: Detecting Trait Clustering in Environmental Gradients. R package version 0.1.1, https://cran.r-project.org/web/packages/RTCC. Accessed 02 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-03-31 12:00)
Other packages that cited RTCC R package
View RTCC citation profile
Other R packages that RTCC depends,
imports, suggests or enhances
Complete documentation for RTCC
Functions, R codes and Examples using
the RTCC R package
Some associated functions: RTCC . group_information . metadata . rtcc1 . rtcc2 . rtcc3 . table_presence_absence .
Some associated R codes: RTCC-package.R . RTCC.R . RTCC_function.R . RTCC_function_random.R . RcppExports.R . group_information.R . metadata.R . other_functions.R . table_presence_absence.R . trait_selection_function.R . Full RTCC package functions and examples
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