`conf.test.Rd`

Likelihood ratio test for gnp vs configuration model.

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

graph | adjacency matrix or igraph graph |
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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 |

p-value of test.

#> #> LR test -- gnp vs CM #> #> data: #> lr = 299.79, df = 33, p-value < 2.2e-16 #> alternative hypothesis: one.sided #> 95 percent confidence interval: #> 19.63033 51.83806 #>