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:

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