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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 |
Reference manual: | TPD.pdf |
Vignettes: |
TPD: Functional Diversity based on Trait Probability Density |
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 suggests: | traitstrap |
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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.