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bnclustmodelscore<-function(bnres,score="AIC",ss=100, nbin=0) {
likel<-bnres$likel[length(bnres$likel)]
#print(likel)
npar<-2*(ncol(bnres$DAGs[[1]])-nbin)*length(bnres$DAGs)+sum(unlist(lapply(bnres$DAGs,sum)))
#print(npar)
if(score=="AIC") return(2*npar-2*likel) else if(score=="BIC") return(log(ss)*npar-2*likel) else
if(score=="ll") return(likel)
}
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