Nothing
GPCE.lar <- function(Model=NULL,
PCSpace="Uniform",
InputDim=3,
InputDistrib=c(),
ParamDistrib=NULL,
Q2tgt=1-10^(-6),
Eps=10^(-2)*(1-Q2tgt),
EpsForw=Eps,
EpsBack=Eps,
EnrichStep=50,
jmax=InputDim,
pmaxi=6,
DesignLength=8,
SeedSob=sample(1:1000,1)){
#ishigami.fun(matrix(c(1,1,1),nrow=1))
#Copule
#CorreMatrix
#DesignInput
#OutputRe
q=1
#sensitivity
### initialization Output
ResultObject =list()
### Check Distribution
OkDistrib=c("Uniform","Gaussian","Gamma","Beta")
if (PCSpace!="FromData"){
if(prod(InputDistrib%in%OkDistrib)==0) {
print("Error1: the given physic distributions cannot be traited")
return()
}
}
##########
### Copule Formalism: To be implemented
##########
### Get Design
Args=list(Model=Model,InputDim=InputDim,InputDistrib=InputDistrib,ParamDistrib=ParamDistrib,pmaxi=pmaxi,jmax=jmax,PCSpace=PCSpace,Q2tgt=Q2tgt,SeedSob=SeedSob,EpsForw=EpsForw,EpsBack=EpsBack,EnrichStep=EnrichStep)
ResultObject$Designs <- c(GetDesignReg(DesignLength,InputDim,SeedSob,InputDistrib,ParamDistrib,PCSpace),DesignLength=DesignLength)
x= c(ResultObject,list(Design2Eval=ResultObject$Designs$Physic,Args=Args),list(p=0,SaveQmax=c(-100,-100,-100),SaveAmax=list(c(0),c(0),c(0))))
class(x) <- "GPCE.lar"
### Case Model=NULL return Input design
if(is.null(Model)) {
return(x)
}
### Get Output when Model is given
Output <- Model(ResultObject$Designs$Physic)
###
ResultObject <- tell.GPCE.lar(x,Output)
#Model,Args,Out$Designs,Output)
return(ResultObject)
}
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