by Joseph Rickert The igraph package has become a fundamental tool for the study of graphs and their properties, the manipulation and visualization of graphs and the statistical analysis of networks. To get an idea of just how firmly igraph has become embedded into the R package ecosystem consider that currently igraph lists 72 reverse depends, 59 reverse imports and 24 reverse suggests. The following plot, which was made with functions from the igraph and miniCRAN packages, indicates the complexity of this network. library(miniCRAN) library(igraph) pk <- c("igraph","agop","bc3net","BDgraph","c3net","camel", "cccd", "CDVine", "CePa", "CINOEDV", "cooptrees","corclass", "cvxclustr", "dcGOR", "ddepn","dils", "dnet", "dpa", "ebdbNet", "editrules",...