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gawdis
View on CRAN: Click
here
Download and install gawdis package within the R console
Install from CRAN:
install.packages("gawdis")
Install from Github:
library("remotes")
install_github("cran/gawdis")
Install by package version:
library("remotes")
install_version("gawdis", "0.1.5")
Attach the package and use:
library("gawdis")
Maintained by
Pavel Fibich
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.gawdis . https://github.com/pavel-fibich/gawdis/issues/ . https://github.com/pavel-fibich/gawdis/ . gawdis citation info . gawdis results . gawdis.pdf . gawdis . gawdis_0.1.5.tar.gz . gawdis_0.1.5.zip . gawdis_0.1.5.zip . gawdis_0.1.5.zip . gawdis_0.1.5.tgz . gawdis_0.1.5.tgz . gawdis_0.1.5.tgz . gawdis_0.1.5.tgz . gawdis_0.1.5.tgz . gawdis_0.1.5.tgz . gawdis archive . https://CRAN.R-project.org/package=gawdis .
First Published: 2020-11-05
Latest Update: 2023-05-03
Description:
R function gawdis() produces multi-trait dissimilarity with more uniform contributions of different traits. de Bello et al. (2021) 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.
How to cite:
Pavel Fibich (2020). gawdis: Multi-Trait Dissimilarity with more Uniform Contributions. R package version 0.1.5, https://cran.r-project.org/web/packages/gawdis. Accessed 05 Apr. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for gawdis
Functions, R codes and Examples using
the gawdis R package
Some associated functions: GAgawdis . gawdis .
Some associated R codes: GAgawdis.R . gawdis.R . Full gawdis package functions and examples
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