Package: netassoc 0.7.1

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 [aut, cre], Naia Morueta-Holme [aut]

netassoc_0.7.1.tar.gz
netassoc_0.7.1.zip(r-4.7-any)netassoc_0.7.1.zip(r-4.6-any)netassoc_0.7.1.zip(r-4.5-any)
netassoc_0.7.1.tgz(r-4.6-any)netassoc_0.7.1.tgz(r-4.5-any)
netassoc_0.7.1.tar.gz(r-4.7-any)netassoc_0.7.1.tar.gz(r-4.6-any)
netassoc_0.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
netassoc/json (API)

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

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

On CRAN:

Conda:

2.48 score 3 stars 10 scripts 187 downloads 1 mentions 5 exports 21 dependencies

Last updated from:1aca4b15d0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK154
source / vignettesOK169
linux-release-x86_64OK136
macos-release-arm64OK141
macos-oldrel-arm64OK132
windows-develOK84
windows-releaseOK351
windows-oldrelOK95
wasm-releaseOK116

Exports:make_netassoc_networkpairwise_associationpartial_correlationplot_netassoc_matrixplot_netassoc_network

Dependencies:cliclustercorpcorcpp11gluehugeigraphinfotheolatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepkgconfigRcpprlangvctrsvegan