gof.test: Perform a goodness-of-fit test

In ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs

Description

Perform a goodness-of-fit test

Usage

gof.test(
  model,
  Beta = TRUE,
  nempirical = NULL,
  parallel = NULL,
  returnBeta = FALSE,
  seed = NULL
)

Arguments

model	ghype model to test
Beta	boolean, whether to use empirical Beta distribution approximation. Default TRUE
nempirical	optional scalar, number of replicates for empirical beta 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	scalar, seed for the empirical distribution.

Value

p-value of test. If returnBeta=TRUE returns the p-value together with the parameters of the beta distribution.

Examples

data("adj_karate")
confmodel <- scm(graph = adj_karate, directed = FALSE, selfloops = FALSE)
gof.test(model = confmodel, seed = 123)

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