lvaluesNSBM

dataVec

list of parameters for a noisy stochastic block model

theta

indicates if the graph is directed

directed

probability distribution for the edges. Possible values:
<code>Gauss</code> and <code>Gamma</code>

modelFamily

compute conditional l-values in the noisy stochastic block model

Variational Expectation-Maximization algorithm to fit the noisy stochastic block model to an observed dense graph
and to perform a node clustering. Moreover, a graph inference procedure to recover the underlying
binary graph. This procedure comes with a control of the false discovery rate. The method is described
in the article "Powerful graph inference with false discovery rate control" by T. Rebafka,
E. Roquain, F. Villers (2020) <arXiv:1907.10176>.

lvaluesNSBM: compute conditional l-values in the noisy stochastic block model

Description

Usage

Arguments

Value