BayesianMixture_SBM_model.Rd
mimiSBM model for fixed K and Q
an array of dim=c(N,N,V)
Number of clusters
Number of components
hyperparameters for beta
hyperparameters for theta
hyperparameters for eta
hyperparameters for xi
convergence parameter on ELBO
maximal number of iteration of mimiSBM
number of initialization of the mimi algorithm.
boolean indicated if we put an M-step after each part of the E-step, after u optimization and after tau optimization. If not, we optimize u and tau and after the M-step is made.
boolean for information on model fitting
parameter of convergence for tau.
select the type of initialization type_init=c("SBM","Kmeans","random")
the number of cores used to parallelize the calculations
See the vignette for more details
mimiSBM model with estimation of coefficients.