gawdis: Multi-Trait Dissimilarity with more Uniform Contributions

R function gawdis() produces multi-trait dissimilarity with more uniform contributions of different traits. The approach is 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: 0.1.0
Depends: FD, GA
Suggests: knitr, rmarkdown
Published: 2020-11-05
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

Downloads:

Reference manual: gawdis.pdf
Vignettes: gawdis
Package source: gawdis_0.1.0.tar.gz
Windows binaries: r-devel: gawdis_0.1.0.zip, r-release: gawdis_0.1.0.zip, r-oldrel: gawdis_0.1.0.zip
macOS binaries: r-release: gawdis_0.1.0.tgz, r-oldrel: gawdis_0.1.0.tgz

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