2 function(ParamPool, InputPool)
5 NoneZeroLength=InputPool[[5]]
7 BetaIn=ParamPool[2:(1+NoneZeroLength)]
8 PIn=ParamPool[2+NoneZeroLength]
11 Input1=matrix(InputPool[[1]],nrow=nrow(Input))
12 Input2=matrix(InputPool[[2]],nrow=nrow(Input))
14 RInSP1=matrix(InputPool[[7]],nrow=nrow(Input))
15 RInSP2=matrix(InputPool[[8]],nrow=nrow(Input))
18 #LikelihoodFunction<- function(NoneZeroLength){
19 F0=f0(Input, AlphaIn, BetaIn, RIn, NumIn, log=T)
20 F1=f1(Input1, Input2, AlphaIn, BetaIn, RInSP1,RInSP2, NumIn, log=T)
21 F0[F0==Inf]=min(!is.na(F0[F0!=Inf]))
22 F1[F1==Inf]=min(!is.na(F1[F1!=Inf]))
24 -sum((1-ZIn)*F0+ (1-ZIn)* log(1-PIn) + ZIn*F1 + ZIn*log(PIn))