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gawdis: Multi-Trait Dissimilarity with more Uniform Contributions

R function gawdis() produces multi-trait dissimilarity with more uniform contributions of different traits. de Bello et al. (2021) <doi:10.1111/2041-210X.13537> presented the approach based on minimizing the differences in the correlation between the dissimilarity of each trait, or groups of traits, and the multi-trait dissimilarity. This is done using either an analytic or a numerical solution, both available in the function.

Version: 0.1.5
Depends: FD, GA
Suggests: knitr, rmarkdown
Published: 2023-05-03
DOI: 10.32614/CRAN.package.gawdis
Author: Francesco de Bello [aut], Zoltan Botta-Dukat [aut], Jan Leps [aut], Pavel Fibich [aut, cre]
Maintainer: Pavel Fibich <pavel.fibich at prf.jcu.cz>
BugReports: https://github.com/pavel-fibich/gawdis/issues/
License: GPL-2 | GPL-3
URL: https://github.com/pavel-fibich/gawdis/
NeedsCompilation: no
Citation: gawdis citation info
Materials: README
CRAN checks: gawdis results

Documentation:

Reference manual: gawdis.pdf
Vignettes: gawdis

Downloads:

Package source: gawdis_0.1.5.tar.gz
Windows binaries: r-devel: gawdis_0.1.5.zip, r-release: gawdis_0.1.5.zip, r-oldrel: gawdis_0.1.5.zip
macOS binaries: r-release (arm64): gawdis_0.1.5.tgz, r-oldrel (arm64): gawdis_0.1.5.tgz, r-release (x86_64): gawdis_0.1.5.tgz, r-oldrel (x86_64): gawdis_0.1.5.tgz
Old sources: gawdis archive

Reverse dependencies:

Reverse imports: mFD

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gawdis to link to this page.

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.