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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Peer review:

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

On CRAN:

dissimilarityfdgowdismulti-trait-dissimilaritytrait

2 exports 5 stars 1.35 score 28 dependencies 1 dependents 12 scripts 491 downloads

Last updated 1 years agofrom:3ecc1f4f25. Checks:OK: 7. Indexed: yes.

Exports:GAgawdisgawdis

Dependencies:abindade4apecliclustercodetoolscrayondigestFDforeachGAgeometryiteratorslatticelinproglpSolvemagicMASSMatrixmgcvnlmepermutepixmapRcppRcppArmadilloRcppProgressspvegan