Package: noisySBM
Type: Package
Title: Noisy Stochastic Block Mode: Graph Inference by Multiple Testing
Version: 0.1.4
Authors@R: 
  c(person(given = "Tabea",
           family = "Rebafka",
           role = c("aut", "cre"),
           email = "tabea.rebafka@sorbonne-universite.fr"),
    person(given = "Etienne",
           family = "Roquain",
           role = "ctb"),
    person(given = "Fanny",
           family = "Villers",
           role = "aut"))
Author: Tabea Rebafka [aut, cre], Etienne Roquain [ctb], Fanny Villers
        [aut]
Maintainer: Tabea Rebafka <tabea.rebafka@sorbonne-universite.fr>
Description: 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>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: parallel, gtools, ggplot2, RColorBrewer
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-06-19 11:16:16 UTC; root
Repository: https://tabea17.r-universe.dev
Date/Publication: 2020-12-16 09:40:06 UTC
RemoteUrl: https://github.com/cran/noisySBM
RemoteRef: HEAD
RemoteSha: 2ae46a0440befeeddbd909a4251bcfa02da03cc3