noisysbmGGM

Noisy Stochastic Block Model for GGM Inference

CRAN Package

Greedy Bayesian algorithm to fit the noisy stochastic block model to an observed sparse graph. Moreover, a graph inference procedure to recover Gaussian Graphical Model (GGM) from real data. This procedure comes with a control of the false discovery rate. The method is described in the article "Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure" by Kilian, Rebafka, and Villers (2024) .

  • Version0.1.2.3
  • R version≥ 3.1.0
  • LicenseGPL-2
  • Needs compilation?Yes
  • Last release03/07/2024

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  • Depends1 package
  • Imports10 packages
  • Suggests2 packages
  • Linking To2 packages