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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 |
DOI: | 10.32614/CRAN.package.tapnet |
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 (arm64): tapnet_0.3.tgz, r-oldrel (arm64): tapnet_0.3.tgz, r-release (x86_64): tapnet_0.3.tgz, r-oldrel (x86_64): tapnet_0.3.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.