Package: ecoCopula 1.0.2

Gordana Popovic

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>.

Authors:Gordana Popovic [aut, cre], David Warton [ctb], Francis K.C. Hui [ctb], Michelle Lim [ctb]

ecoCopula_1.0.2.tar.gz
ecoCopula_1.0.2.tar.gz(r-4.5-noble)ecoCopula_1.0.2.tar.gz(r-4.4-noble)
ecoCopula_1.0.2.tgz(r-4.4-emscripten)ecoCopula_1.0.2.tgz(r-4.3-emscripten)
ecoCopula.pdf |ecoCopula.html
ecoCopula/json (API)
NEWS

# Install 'ecoCopula' in R:
install.packages('ecoCopula', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.48 score 2 packages 304 downloads 1 mentions 15 exports 45 dependencies

Last updated 3 years agofrom:9e4fd18a2b. Checks:2 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-linuxNOTEMar 27 2025
R-4.4-linuxOKMar 27 2025

Exports:cgrcordfitted.stackedsdmldTweedieplot.cgrplot.cordplot.stackedsdmpredict.stackedsdmprint.cgrprint.cordresiduals.stackedsdmsimulate.cordstackedsdmsummary.cgrsummary.cord

Dependencies:betaregclicodacodetoolscpp11doParallelfansiflexmixforeachFormulaglassoglm2glueigraphiteratorslatticelifecyclelmtestmagrittrMASSMatrixmgcvmodeltoolsmvabundnetworknlmennetnumDerivordinalpillarpkgconfigplyrRcppRcppGSLrlangsandwichsnastatmodstatnet.commontibbletweedieucminfutf8vctrszoo

ecoCopula package for model based ordination and graphical modelling in ecology

Rendered fromthe_basics.Rmdusingknitr::rmarkdownon Mar 27 2025.

Last update: 2022-03-01
Started: 2020-11-10

Citation

To cite ecoCopula in publications use:

Popovic, GC, Warton, DI, Thomson, FJ, Hui, FKC, Moles, AT. Untangling direct species associations from indirect mediator species effects with graphical models. Methods Ecol Evol. 2019; 10: 1571– 1583.

Corresponding BibTeX entry:

  @Article{,
    title = {Untangling direct species associations from indirect
      mediator species effects with graphical models},
    author = {Gordana C. Popovic and David I. Warton and Fiona J.
      Thomson and Angela T. Moles},
    journal = {Methods in Ecology and Evolution},
    year = {2019},
    volume = {10},
    number = {9},
    pages = {1571 -- 1583},
    doi = {10.1111/2041-210X.13247},
  }

Readme and manuals

ecoCopula Build StatusLicenseDOI

R package to find direct and indirect species associations from co-occurrence data

Installation

To install ecoCopula from CRAN:

install.packages("ecoCopula")

For the development version with the latest bells and whistles:

# install.packages("devtools")
devtools::install_github("gordy2x/ecoCopula")

For the development version with zero-inflated functionality:

# install.packages("devtools")
# devtools::install_github("r-forge/countreg/pkg")
devtools::install_github("gordy2x/ecoCopula", ref="e401671")

If you have trouble installing, please email me at g.popovic@unsw.edu.au

Help Manual

Help pageTopics
Fitting Gaussian copula graphical lasso to co-occurrence datacgr
Model based ordination with Gaussian copulascord
Fitted values from a stackedsdm objectfitted.stackedsdm
Plot graph of direct species associations.plot.cgr
Plots an ordination of latent variables and their corresponding coefficients (biplot).plot.cord
Plot residuals of stackedsdm.plot.stackedsdm
Predictions from a stackedsdm objectpredict.stackedsdm
Print function for cgr objectprint.cgr
Print function for cord objectprint.cord
Calculate residuals from a stackedsdm objectresiduals.stackedsdm
Simulates new data from a given cord objectsimulate.cord
Spider dataspider
Stacked species regression models, possibly fitted in parallelstackedsdm
Summary function for cgr objectsummary.cgr
Summary function for cgr objectsummary.cord