TPD: Methods for Measuring Functional Diversity Based on Trait Probability Density

Tools to calculate trait probability density functions (TPD) at any scale (e.g. populations, species, communities). TPD functions are used to compute several indices of functional diversity, as well as its partition across scales. These indices constitute a unified framework that incorporates the underlying probabilistic nature of trait distributions into uni- or multidimensional functional trait-based studies. See Carmona et al. (2016) <doi:10.1016/j.tree.2016.02.003> for further information.

Version: 1.1.0
Depends: ggplot2 (≥ 1.0.0), ks (≥ 1.9.2)
Imports: gridExtra (≥ 0.9.1), mvtnorm (≥ 0.8), graphics, stats
Suggests: knitr, testthat, rmarkdown
Published: 2019-07-02
DOI: 10.32614/CRAN.package.TPD
Author: Carlos P. Carmona
Maintainer: Carlos P. Carmona <perezcarmonacarlos at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: TPD results

Documentation:

Reference manual: TPD.html , TPD.pdf
Vignettes: TPD: Functional Diversity based on Trait Probability Density (source, R code)

Downloads:

Package source: TPD_1.1.0.tar.gz
Windows binaries: r-devel: TPD_1.1.0.zip, r-release: TPD_1.1.0.zip, r-oldrel: TPD_1.1.0.zip
macOS binaries: r-release (arm64): TPD_1.1.0.tgz, r-oldrel (arm64): TPD_1.1.0.tgz, r-release (x86_64): TPD_1.1.0.tgz, r-oldrel (x86_64): TPD_1.1.0.tgz
Old sources: TPD archive

Reverse dependencies:

Reverse suggests: traitstrap

Linking:

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