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:

5 exports 2 stars 1.10 score 22 dependencies 1 mentions 9 scripts 217 downloads

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

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winNOTESep 05 2024
R-4.5-linuxNOTESep 05 2024
R-4.4-winNOTESep 05 2024
R-4.4-macNOTESep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:make_netassoc_networkpairwise_associationpartial_correlationplot_netassoc_matrixplot_netassoc_network

Dependencies:cliclustercorpcorcpp11gluehugeigraphinfotheolatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepkgconfigRcppRcppEigenrlangvctrsvegan