ghypernet (version 1.1.0)

linkSignificance: Estimate statistical deviations from ghype model

Description

linkSignificance allows to estimate the statistical deviations of an observed graph from a ghype model.

Usage

linkSignificance(
  graph,
  model,
  under = FALSE,
  log.p = FALSE,
  binomial.approximation = FALSE,
  give_pvals = FALSE
)
link_significance(
  graph,
  model,
  under = FALSE,
  log.p = FALSE,
  binomial.approximation = FALSE,
  give_pvals = FALSE
)

Arguments

graph

an adjacency matrix or a igraph object.

model

a ghype model

under

boolean, estimate under-represented deviations? Default FALSE.

log.p

boolean, return log values of probabilities

binomial.approximation

boolean, force binomial? default FALSE

give_pvals

boolean, return p-values for both under and over significance?

Value

matrix of probabilities with same size as adjacency matrix.

Examples

# NOT RUN {
data("adj_karate")
fullmodel <- ghype(graph = adj_karate, directed = FALSE, selfloops = FALSE)
link_significance(graph = adj_karate, model = fullmodel, under=FALSE)

# }