initialisation_params_bayesian: Initialization of mimiSBM parameters

In mimiSBM: Mixture of Multilayer Integrator Stochastic Block Models

Initialization of mimiSBM parameters

Description

Initialization of mimiSBM parameters

Usage

initialisation_params_bayesian(
  A,
  K,
  Q,
  beta_0 = rep(1/2, K),
  theta_0 = rep(1/2, Q),
  eta_0 = array(rep(1/2, K * K * Q), c(K, K, Q)),
  xi_0 = array(rep(1/2, K * K * Q), c(K, K, Q)),
  type_init = "SBM",
  nbCores = 2
)

Arguments

A	an array of dim=c(N,N,V)
K	Number of clusters
Q	Number of components
beta_0	hyperparameters for beta
theta_0	hyperparameters for theta
eta_0	hyperparameters for eta
xi_0	hyperparameters for xi
type_init	select the type of initialization type_init=c("SBM","Kmeans","random")
nbCores	the number of cores used to parallelize the calculations of the various SBMs

Value

a list params updated

mimiSBM documentation built on May 29, 2024, 2:48 a.m.