noisySBM
Noisy Stochastic Block Mode
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)
- Version0.1.4
- R version≥ 2.10
- LicenseGPL-2
- Needs compilation?No
- Last release12/16/2020
Documentation
Team
Tabea Rebafka
Etienne Roquain
Show author detailsRolesContributorFanny Villers
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- Depends1 package
- Imports4 packages
- Suggests2 packages