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

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>.

Package details

AuthorTabea Rebafka [aut, cre], Etienne Roquain [ctb], Fanny Villers [aut]
MaintainerTabea Rebafka <>
Package repositoryView on CRAN
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noisySBM documentation built on Dec. 16, 2020, 5:09 p.m.