Nothing
"AdaptNeigh" <-
function(pointsin,X,coeff,nbrs,remove,intercept,neighbours){
#does local adaptive prediction for the point remove based on N
#points (chooses method of prediction and intercept)
mindetails<-NULL
minindices<-NULL
results<-list()
tempres<-list()
newinfo<-list()
nlist<-list()
N<-length(pointsin)
min1<-min(N-1,neighbours)
min2<-min(N-1,2*neighbours)
closest<-FALSE #does prediction schemes with neighbours on each side
for (k in 1:min1){
out1<-getnbrs(X,remove,pointsin,k,closest)
nbrs<-out1$nbrs
index<-out1$index
out2<-AdaptPred(pointsin,X,coeff,nbrs,remove,intercept,neighbours)
nlist[[k]]<-out1
tempres[[k]]<-out2
}
closest<-TRUE
for (k in 1:min2){
out1<-getnbrs(X,remove,pointsin,k,closest)
nbrs<-out1$nbrs
index<-out1$index
out2<-AdaptPred(pointsin,X,coeff,nbrs,remove,intercept,neighbours)
nlist[[k+min1]]<-out1
tempres[[k+min1]]<-out2
}
for (i in 1:(min1+min2)){
minindices[i]<-tempres[[i]]$minindex
mindetails[i]<-tempres[[i]]$details[minindices[i]]
}
totalminindex<-order(abs(mindetails))[1]
pred<-coeff[remove]-mindetails[totalminindex]
coeff[remove]<-mindetails[totalminindex]
clo<-NULL
int<-NULL
scheme<-NULL
if(totalminindex<=neighbours){
clo<-FALSE
}
else{
clo<-TRUE
}
results<-tempres[[totalminindex]]
nbrs<-nlist[[totalminindex]]$nbrs
index<-nlist[[totalminindex]]$index
newinfo<-list(clo=clo,nbrs=nbrs,index=index)
return(list(results=results,newinfo=newinfo))
}
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