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: 1.0.1
Depends: R (≥ 3.5.0)
Imports: mvabund, 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: 2020-11-10
Author: Gordana Popovic [aut, cre], Michelle Lim [ctb], Francis K.C. Hui [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
CRAN checks: ecoCopula results

Downloads:

Reference manual: ecoCopula.pdf
Vignettes: the_basics
Package source: ecoCopula_1.0.1.tar.gz
Windows binaries: r-devel: ecoCopula_1.0.1.zip, r-release: ecoCopula_1.0.1.zip, r-oldrel: ecoCopula_1.0.1.zip
macOS binaries: r-release (arm64): ecoCopula_1.0.1.tgz, r-release (x86_64): ecoCopula_1.0.1.tgz, r-oldrel: ecoCopula_1.0.1.tgz

Reverse dependencies:

Reverse imports: ecopower

Linking:

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