`isNetwork.Rd`

isNetwork tests a graph for the SCM vs the full ghype model.

isNetwork( graph, directed, selfloops, Beta = TRUE, nempirical = NULL, parallel = FALSE, returnBeta = FALSE, seed = NULL )

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. |

Beta | boolean, use Beta test? default TRUE |

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. |

returnBeta | boolean, return estimated parameters of Beta distribution? Default FALSE. |

seed | optional integer, seed for empirical lr.test |

p-value of test.

#> #> LR test -- optimal = CM vs full model #> #> data: #> lr = 649.84, df = 560, p-value < 2.2e-16 #> alternative hypothesis: one.sided #> 95 percent confidence interval: #> 339.1651 413.9994 #>