Package: netassoc 0.7.0

netassoc: Inference of Species Associations from Co-Occurrence Data

Infers species associations from community matrices. Uses local and (optional) regional-scale co-occurrence data by comparing observed partial correlation coefficients between species to those estimated from regional species distributions. Extends Gaussian graphical models to a null modeling framework. Provides interface to a variety of inverse covariance matrix estimation methods.

Authors:Benjamin Blonder, Naia Morueta-Holme

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netassoc.pdf |netassoc.html✨
netassoc/json (API)

# Install 'netassoc' in R:
install.packages('netassoc', repos = c('https://bblonder.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bblonder/netassoc/issues

On CRAN:

2.30 score 2 stars 9 scripts 165 downloads 1 mentions 5 exports 22 dependencies

Last updated 2 years agofrom:9c66e58022. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winNOTENov 04 2024
R-4.5-linuxNOTENov 04 2024
R-4.4-winNOTENov 04 2024
R-4.4-macNOTENov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:make_netassoc_networkpairwise_associationpartial_correlationplot_netassoc_matrixplot_netassoc_network

Dependencies:cliclustercorpcorcpp11gluehugeigraphinfotheolatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepkgconfigRcppRcppEigenrlangvctrsvegan