R: Mixture of Multilayer Integrator Stochastic Block Models

# Mixture of Multilayer Integrator Stochastic Block Models

## Documentation for package ‘mimiSBM’ version 0.0.1.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## 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