qvaluesNSBM: compute q-values in the noisy stochastic block model

In noisySBM: Noisy Stochastic Block Mode: Graph Inference by Multiple Testing

Description

compute q-values in the noisy stochastic block model

Usage

qvaluesNSBM(
  dataVec,
  Z,
  theta,
  lvalues,
  modelFamily = "Gauss",
  directed = FALSE
)

Arguments

dataVec	data vector
Z	a node clustering
theta	list of parameters for a noisy stochastic block model
lvalues	conditional l-values in the noisy stochastic block model
modelFamily	probability distribution for the edges. Possible values: Gauss and Gamma
directed	indicates if the graph is directed

Value

q-values in the noisy stochastic block model

noisySBM documentation built on Dec. 16, 2020, 5:09 p.m.