gof.test | R Documentation |
Perform a goodness-of-fit test
gof.test(
model,
Beta = TRUE,
nempirical = NULL,
parallel = NULL,
returnBeta = FALSE,
seed = NULL
)
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. |
p-value of test. If returnBeta=TRUE returns the p-value together with the parameters of the beta distribution.
data("adj_karate")
confmodel <- scm(graph = adj_karate, directed = FALSE, selfloops = FALSE)
gof.test(model = confmodel, seed = 123)
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