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]

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gawdis.pdf |gawdis.html✨
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:

5.15 score 5 stars 1 packages 19 scripts 475 downloads 2 exports 28 dependencies

Last updated 2 years agofrom:3ecc1f4f25. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 29 2024
R-4.5-win	OK	Oct 29 2024
R-4.5-linux	OK	Oct 29 2024
R-4.4-win	OK	Oct 29 2024
R-4.4-mac	OK	Oct 29 2024
R-4.3-win	OK	Oct 29 2024
R-4.3-mac	OK	Oct 29 2024