# R/ce.simnormal.R In breakpoint: An R Package for Multiple Break-Point Detection via the Cross-Entropy Method

#### Defines functions ce.simnormal

```ce.simnormal <-
function(N,data,h,L0,L,M,Melite,eps,a,b){

if (N==0){
seql<-c(1,L)
mBic.full<-mBIC(seql,data,0,L,h)

return(list(locis=c(1,L+1),mBIC=mBic.full))
rm(mBic.full,seql)

} else {

########################Parameter initialization######################################################
new_para<-rbind(rep(L0+(L-L0)/2,N),rep(sqrt(L-L0)^2/12,N))
######################################################################################################
#  modbic<-c()

k<-0
repeat
{
k<-k+1
ch<-array(0,dim=c(M,N+2))
ch[,1]<-c(1)
ch[,N+2]<-c(L+1)
ch[,(2:(N+1))]<-apply(new_para,2,normrand,L0,L,M)
ch<-t(apply(ch,1,sort))
mod_bic<-apply(ch,1,mBIC,data,N,L,h)
ch<-cbind(ch,mod_bic)
ch<-ch[order(ch[,(N+3)],decreasing=TRUE),]
melitesmpl<-ch[1:Melite,]
#    modbic[k]<-melitesmpl[1,(N+3)]

new_par_n<-array(0,dim=c(2,N))
new_par_n[1,]<-apply(as.matrix(melitesmpl[,(2:(N+1))]),2,mean)
new_par_n[2,]<-apply(as.matrix(melitesmpl[,(2:(N+1))]),2,sd)

new_para[1,] <- a*new_par_n[1,] + (1-a)*new_para[1,]
new_para[2,] <- b*new_par_n[2,] + (1-b)*new_para[2,]

}
#  return(list(loci=ch[1,(1:(N+2))], mBIC=modbic[k]))
return(list(loci=ch[1,(1:(N+2))], mBIC=melitesmpl[1,(N+3)]))
}
}
```

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breakpoint documentation built on May 29, 2017, 11 a.m.