Package: gawdis 0.1.5

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.

Authors:Francesco de Bello [aut], Zoltan Botta-Dukat [aut], Jan Leps [aut], Pavel Fibich [aut, cre]

gawdis_0.1.5.tar.gz
gawdis_0.1.5.zip(r-4.7)gawdis_0.1.5.zip(r-4.6)gawdis_0.1.5.zip(r-4.5)
gawdis_0.1.5.tgz(r-4.6-any)gawdis_0.1.5.tgz(r-4.5-any)
gawdis_0.1.5.tar.gz(r-4.7-any)gawdis_0.1.5.tar.gz(r-4.6-any)
gawdis_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gawdis/json (API)

# Install 'gawdis' in R:

install.packages('gawdis', repos = c('https://pavel-fibich.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pavel-fibich/gawdis/issues

On CRAN:

5.43 score 6 stars 1 packages 30 scripts 612 downloads 2 exports 28 dependencies

Last updated from:3ecc1f4f25. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	139
source / vignettes	OK	208
linux-release-x86_64	OK	132
macos-release-arm64	OK	83
macos-oldrel-arm64	OK	78
windows-devel	OK	100
windows-release	OK	142
windows-oldrel	OK	95
wasm-release	OK	108