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
DOI:	10.32614/CRAN.package.foodingraph
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

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