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
