VBEM_step.Rd
Variational Bayes Expectation Maximization
VBEM_step(A, params, alternate = T, eps_conv = 0.001)
an array of dim=c(N,N,V)
list of parameters of the model
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.
parameter of convergence for tau.
params with updated parameters.