Nothing
#Prediction(obj$formula,obj$data,na.action=obj$na.action,pz=obj$pz,nBreaks=obj$nBreaks,
# model=obj$model,StaPar=obj$coefficients[1],a0=obj$a0,b0=obj$b0,distl="PRED",
# ci=obj$ci,samples=1000,hh=hh,Xtprev=data,method="MLE")
#####Colocar essas funcoes ocultas!!!
##################################################################################
#My Predict.function: SmoothingF/PredictionF function # So Poisson e Gama Previsao
#'@noRd
ngssm.mle.p<- function(object,data=NULL,hh=NULL){
if(!is.null(hh)){
if (object$model!= "Poisson" && object$model!="SRGamma" && object$model!="SRWeibull")stop("Sorry! Forecasting is not available for the model.")
}
if(is.null(hh) ) {
objecta <- list(object$fitted.values)
} else if (object$model=="Poisson" || object$model=="SRGamma" || object$model=="SRWeibull"){
objecta<-list(Prediction(formula=object$formula,data=object$data,na.action=object$na.action,pz=object$pz,nBreaks=object$nBreaks,
model=object$model,StaPar=object$coefficients,a0=object$a0,b0=object$b0,distl="PRED",
ci=object$ci,samples=1000,hh=hh,Xtprev=data,method="MLE"))
}
else{
objecta <- list(object$fitted.values)
}
class(objecta) = "ngssm.mle"
return(objecta)
}
#predict.ngssm.mle(fit,data=NULL)
#predict(fit,data=NULL)
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