conf.test: Test regular (gnp) vs configuration model

In ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs

Description

Likelihood ratio test for gnp vs configuration model.

Usage

conf.test(
  graph,
  directed,
  selfloops,
  nempirical = NULL,
  parallel = NULL,
  seed = NULL
)

Arguments

graph	adjacency matrix or igraph graph
directed	a boolean argument specifying whether object is directed or not.
selfloops	a boolean argument specifying whether the model should incorporate selfloops.
nempirical	optional, number of graphs to sample from null distribution for empirical distribution.
parallel	optional, number of cores to use or boolean for parallel computation. If passed TRUE uses all cores-1, else uses the number of cores passed. If none passed performed not in parallel.
seed	optional integer

Value

p-value of test.

Examples

data("adj_karate")
conf.test(graph = adj_karate, directed = FALSE, selfloops = FALSE, seed=123)

ghypernet documentation built on Oct. 15, 2021, 5:14 p.m.