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ecoCopula: Graphical Modelling and Ordination using Copulas

Creates 'graphs' of species associations (interactions) and ordination biplots from co-occurrence data by fitting discrete gaussian copula graphical models. Methods described in Popovic, GC., Hui, FKC., Warton, DI., (2018) <doi:10.1016/j.jmva.2017.12.002>.

Version: 1.0.2
Depends: R (≥ 3.5.0), mvabund (≥ 4.2)
Imports: glasso, plyr, sna, MASS, tweedie, igraph, betareg, doParallel, mgcv, glm2, ordinal, compiler, foreach, stats
Suggests: knitr, rmarkdown, testthat, tidyr, ggplot2, RColorBrewer, ggraph, labdsv, tidygraph
Published: 2022-03-02
DOI: 10.32614/CRAN.package.ecoCopula
Author: Gordana Popovic [aut, cre], David Warton [ctb], Francis K.C. Hui [ctb], Michelle Lim [ctb]
Maintainer: Gordana Popovic <g.popovic at unsw.edu.au>
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
NeedsCompilation: no
Citation: ecoCopula citation info
Materials: README NEWS
In views: Environmetrics
CRAN checks: ecoCopula results

Documentation:

Reference manual: ecoCopula.pdf
Vignettes: the_basics

Downloads:

Package source: ecoCopula_1.0.2.tar.gz
Windows binaries: r-devel: ecoCopula_1.0.2.zip, r-release: ecoCopula_1.0.2.zip, r-oldrel: ecoCopula_1.0.2.zip
macOS binaries: r-release (arm64): ecoCopula_1.0.2.tgz, r-oldrel (arm64): ecoCopula_1.0.2.tgz, r-release (x86_64): ecoCopula_1.0.2.tgz, r-oldrel (x86_64): ecoCopula_1.0.2.tgz
Old sources: ecoCopula archive

Reverse dependencies:

Reverse imports: ecopower, ecostats

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ecoCopula to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.