tapnet: Trait Matching and Abundance for Predicting Bipartite Networks

Functions to produce, fit and predict from bipartite networks with abundance, trait and phylogenetic information. Its methods are described in detail in Benadi, G., Dormann, C.F., Fruend, J., Stephan, R. & Vazquez, D.P. (2021) Quantitative prediction of interactions in bipartite networks based on traits, abundances, and phylogeny. The American Naturalist, in press.

Version: 0.3
Depends: R (≥ 3.5.0)
Imports: ape, bipartite, MPSEM, phytools, stats, utils, vegan
Suggests: knitr
Published: 2021-01-28
Author: Carsten Dormann [aut, cre], Gita Benadi [aut], Boris Tinoco [dtc], Ruth Stephan [ctb], Jochen Fruend [ctb]
Maintainer: Carsten Dormann <carsten.dormann at biom.uni-freiburg.de>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/biometry/tapnet
NeedsCompilation: no
CRAN checks: tapnet results


Reference manual: tapnet.pdf
Vignettes: Case Study
Package source: tapnet_0.3.tar.gz
Windows binaries: r-devel: tapnet_0.3.zip, r-release: tapnet_0.3.zip, r-oldrel: tapnet_0.3.zip
macOS binaries: r-release: tapnet_0.3.tgz, r-oldrel: tapnet_0.3.tgz


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