performance_plot: Visualizing Performance of Network Inference on Model...

In robertness/bninfo: Queries and information theoritic operations on Bayesian networks.

Description

Given a ground truth network structure and an inferred (learned) network structure, visualize the performance of the network inferrence by highlighting the true positive edges (detected edges) and false negative edges (undetected edges) on the ground truth network, and by viewing the true positive edges and false positive edges (detected edges that are not in the ground truth network) on the inferred network. True positives are highlighted in green, false positives are highlighted in red, and false negatives are dashed lines.

Usage

performance_plot_list(inferred, ground_truth)

performance_plot(inferred, ground_truth, plot_truth)

Arguments

inferred	an inferred network structure, an object of class bn.
ground_truth	the ground truth network structure, as in the gold standard against which the inferred network is compared.
plot_truth	if TRUE then plot true positives and false negatives on the ground truth network structure, FALSE then plot true positives and false positives on the inferred network structure.

robertness/bninfo documentation built on May 27, 2019, 10:32 a.m.