Function reference • mimiSBM

All functions
`BayesianMixture_SBM_model()`	mimiSBM model for fixed K and Q
`CEM()`	Clustering Matrix : One hot encoding
`Loss_BayesianMSBM()`	mimiSBM Evidence Lower BOund
`Mat_lien_alpha()`	Create probality-component list for clustering per view component.
`VBEM_step()`	Variational Bayes Expectation Maximization
`diag_nulle()`	Diagonal coefficient to 0 on each slice given the 3rd dimension.
`fit_SBM_per_layer()`	SBM on each layer
`fit_SBM_per_layer_parallel()`	SBM on each layer - parallelized
`initialisation_params_bayesian()`	Initialization of mimiSBM parameters
`lab_switching()`	Label Switching
`log_Softmax()`	log softmax of matrices (by row)
`mimiSBM()`	Mixture of Multilayer Integrator SBM (mimiSBM)
`multinomial_lbeta_function()`	Calculation of Log multinomial Beta value.
`one_hot_errormachine()`	One Hot Encoding with Error machine
`partition_K_barre()`	Create a link between final clustering and clustering per view component.
`plot_adjacency()`	Plot adjacency matrices
`rMSBM()`	Simulate data from the mimiSBM generative model.
`rSMB_partition()`	Simulation of mixture multilayer Stochastick block model
`sort_Z()`	Sort the clustering matrix
`transpo()`	Transposition of an array
`trig_sup()`	Upper triangular Matrix/Array
`update_beta_bayesian()`	Update of bayesian parameter beta
`update_eta_bayesian()`	Update of bayesian parameter eta
`update_tau_bayesian()`	Update of bayesian parameter tau
`update_theta_bayesian()`	Update of bayesian parameter theta
`update_u_bayesian()`	Update of bayesian parameter u
`update_xi_bayesian()`	Update of bayesian parameter xi

Reference

All functions