Motif Analyses of Bipartite Networks
Overview
Counts occurrences of motifs in bipartite networks, as well as the number of times each node or link appears in each unique position within motifs. Has support for both binary and weighted motifs: can calculate the mean weight of motifs and the standard deviation of their mean weights. Intended for use in ecology, but its methods are general and can be applied to any bipartite network. Full details are given in Simmons et al. (2019) doi:10.1111/2041-210X.13149.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-12-05issues were not corrected despite reminders
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- unarchivedReturned to CRAN2020-09-11
- 2.0.22020-09-11 · diff ↗
- archivedRemoved from CRAN2020-07-23check problems were not corrected in time
- 2.0.12020-07-02 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 2.0.0
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0.02018-01-29
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-01-29
- Total releases
- 4 / 8 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
Cite
Cite this package
Run in R for the authors' entry:
citation("bmotif")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1111/2041-210x.13149.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.