Noisy Stochastic Block Model for GGM Inference
Evalute the adjusted Rand index
Graph Inference from Noisy Data by Multiple Testing
GGM Inference from Noisy Data by Multiple Testing using SILGGM and Drt...
matrixToVec
noisysbmGGM: Noisy Stochastic Block Mode: Graph and GGM Inference by M...
plot the data matrix, the inferred graph and/or the true binary graph
return a random NSBM
vecToMatrix
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) <arXiv:2402.19021>.