Mixture of Multilayer Integrator Stochastic Block Models

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Documentation for package ‘mimiSBM’ version 0.0.1.3

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

Help Pages

BayesianMixture_SBM_model	mimiSBM model for fixed K and Q
CEM	Clustering Matrix : One hot encoding
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)
Loss_BayesianMSBM	mimiSBM Evidence Lower BOund
Mat_lien_alpha	Create probality-component list for clustering per view component.
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
VBEM_step	Variational Bayes Expectation Maximization