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: 0.1.3
Depends: FD, GA
Suggests: knitr, rmarkdown
Published: 2021-05-12
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_0.1.3.tar.gz
Windows binaries: r-devel: gawdis_0.1.3.zip, r-release: gawdis_0.1.3.zip, r-oldrel: gawdis_0.1.3.zip
macOS binaries: r-release (arm64): gawdis_0.1.3.tgz, r-release (x86_64): gawdis_0.1.3.tgz, r-oldrel: gawdis_0.1.3.tgz
Old sources: gawdis archive

Reverse dependencies:

Reverse imports: mFD

Linking:

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