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foodingraph: Food Network Inference and Visualization

Displays a weighted undirected food graph from an adjacency matrix. Can perform confidence-interval bootstrap inference with mutual information or maximal information coefficient. Based on my Master 1 internship at the Bordeaux Population Health center. References : Reshef et al. (2011) <doi:10.1126/science.1205438>, Meyer et al. (2008) <doi:10.1186/1471-2105-9-461>, Liu et al. (2016) <doi:10.1371/journal.pone.0158247>.

Version: 0.1.0
Imports: dplyr, ggplot2, cowplot, magrittr, stringr, tibble, tidyr, viridis, igraph, ggraph, minerva, rlang, labeling, grid
Suggests: knitr, infotheo, minet
Published: 2019-10-06
Author: Victor Gasque [cre, aut], Boris Hejblum [aut], Cecilia Samieri [aut]
Maintainer: Victor Gasque <victor.gasque at protonmail.com>
BugReports: https://github.com/vgasque/foodingraph/issues
License: GPL-3
URL: https://github.com/vgasque/foodingraph/
NeedsCompilation: no
Materials: NEWS
CRAN checks: foodingraph results

Documentation:

Reference manual: foodingraph.pdf
Vignettes: Quick introduction to foodingraph

Downloads:

Package source: foodingraph_0.1.0.tar.gz
Windows binaries: r-devel: foodingraph_0.1.0.zip, r-release: foodingraph_0.1.0.zip, r-oldrel: foodingraph_0.1.0.zip
macOS binaries: r-release (arm64): foodingraph_0.1.0.tgz, r-oldrel (arm64): foodingraph_0.1.0.tgz, r-release (x86_64): foodingraph_0.1.0.tgz, r-oldrel (x86_64): foodingraph_0.1.0.tgz

Linking:

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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.
Health stats visible at Monitor.