bipartite: Visualising Bipartite Networks and Calculating Some (Ecological) Indices

Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.

Version: 2.15
Depends: vegan, sna
Imports: fields, igraph, MASS, methods, permute
Suggests: knitr
Published: 2020-04-03
Author: Carsten F. Dormann, Jochen Fruend and Bernd Gruber, with additional code from Stephen Beckett, Mariano Devoto, Gabriel Felix, Jose Iriondo, Tove Opsahl, Rafael Pinheiro, Rouven Strauss and Diego Vazquez, also based on C-code developed by Nils Bluethgen, Aaron Clauset/Rouven Strauss and Miguel Rodriguez-Girones
Maintainer: Carsten F. Dormann <carsten.dormann at biom.uni-freiburg.de>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/biometry/bipartite
NeedsCompilation: yes
Citation: bipartite citation info
CRAN checks: bipartite results

Downloads:

Reference manual: bipartite.pdf
Vignettes: Starting with bipartite
Package source: bipartite_2.15.tar.gz
Windows binaries: r-devel: bipartite_2.15.zip, r-release: bipartite_2.15.zip, r-oldrel: bipartite_2.15.zip
macOS binaries: r-release: bipartite_2.15.tgz, r-oldrel: bipartite_2.15.tgz
Old sources: bipartite archive

Reverse dependencies:

Reverse imports: cassandRa, econetwork, plsRglm, RPANDA
Reverse suggests: bipartiteD3, HiveR

Linking:

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