Package: mimiSBM 0.0.1.3

mimiSBM: Mixture of Multilayer Integrator Stochastic Block Models

Our approach uses a mixture of multilayer stochastic block models to group co-membership matrices with similar information into components and to partition observations into different clusters. See De Santiago (2023, ISBN: 978-2-87587-088-9).

Authors:Kylliann De Santiago [aut, cre], Marie Szafranski [aut], Christophe Ambroise [aut]

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Exports:BayesianMixture_SBM_modelCEMdiag_nullefit_SBM_per_layerfit_SBM_per_layer_parallellab_switchinglog_SoftmaxLoss_BayesianMSBMMat_lien_alphamimiSBMmultinomial_lbeta_functionone_hot_errormachinepartition_K_barreplot_adjacencyrMSBMrSMB_partitionsort_Ztranspotrig_supupdate_beta_bayesianupdate_eta_bayesianupdate_tau_bayesianupdate_theta_bayesianupdate_u_bayesianupdate_xi_bayesianVBEM_step

Dependencies:blockmodelsdigestRcppRcppArmadillo