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

Downloads:

Reference manual: foodingraph.pdf
Vignettes: Quick introduction to foodingraph
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
OS X binaries: r-release: foodingraph_0.1.0.tgz, r-oldrel: foodingraph_0.1.0.tgz

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