R/compLikICL.R
compLikICL.Rdcompute the Integrated likeilhood and the ICL criteria for the MBM
compLikICL(paramEstim, list_Net, v_distrib = NULL)
| paramEstim | Estimated parameters of MBM |
|---|---|
| list_Net | A list of network |
| v_distrib | Type of proababilistic distributions in each network : if 0/1 then Bernoulli, if counting then Poisson. My default = Bernoulli. Must give a vector whose length is the number of networks in list_Net |
Pseudo-Likelihood and penalty