Food Network Inference and Visualization
Bootstrap inference on binary and categorical variables
Confidence-interval bootstraps on simulated independent variables
Compare two graphs
Generate a color palette for nodes family
foodingraph: a package for food network inference
Display a graph from a list of links and nodes
Display a graph from an adjacency matrix
Extracts links and nodes
Computes a MIC adjacency matrix
Save graph
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>.