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>
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


Reference manual: ecoCopula.pdf
Vignettes: the_basics


Package source: ecoCopula_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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