A Stochastic Block Model for Multilevel Networks

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Documentation for package ‘MLVSBM’ version 0.2.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

ARI	Compare two clustering with the Adjusted Rand Index
build_fold_matrix	Title
coef.FitMLVSBM	Extract model coefficients
FitMLVSBM	An R6 Class object, a fitted multilevel network once $dovem() is done
FitSBM	An R6 Class object for unilevel network
hierarClust	Perform a Hierarchical Clustering
merge_clust	Merge a list of clusters
MLVSBM	R6Class for multilevel object
mlvsbm_create_network	Create a MLVSBM object from observed data
mlvsbm_estimate_network	Infer a multilevel network (MLVSBM object), the original object is modified
mlvsbm_log_likelihood	Compute the complete log likelihood of a multilevel network for a given clustering of the nodes.
mlvsbm_simulate_network	Create a simulated multilevel network (MLVSBM object)
plot.FitMLVSBM	Multilevel SBM Plot
predict.FitMLVSBM	Model Predictions
simulate_adjacency	Simulation an adjacency matrix
simulate_affiliation	Simulate of matrix of affiliation
spcClust	Perform a spectral clustering
split_clust	Merge a list of clusters