R/compLikICL.R
compLikICL.Rd
compute 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