hrg.consensus: Create a consensus tree from several hierarchical random...

In igraph: Network Analysis and Visualization

Create a consensus tree from several hierarchical random graph models

Description

hrg.consensus() was renamed to consensus_tree() to create a more consistent API.

Usage

hrg.consensus(graph, hrg = NULL, start = FALSE, num.samples = 10000)

Arguments

graph	The graph the models were fitted to.
hrg	A hierarchical random graph model, in the form of an igraphHRG object. consensus_tree() allows this to be NULL as well, then a HRG is fitted to the graph first, from a random starting point.
start	Logical, whether to start the fitting/sampling from the supplied igraphHRG object, or from a random starting point.
num.samples	Number of samples to use for consensus generation or missing edge prediction.

igraph documentation built on Oct. 20, 2024, 1:06 a.m.