search for: cv1glm

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2007 May 11
1
model seleciton by leave-one-out cross-validation
...omb ## input: vec -- vector ## output: all possible combination from the elements of vec #################### rec.comb=function(vec) { if(length(vec)==0){list(NULL) }else { tmp=rec.comb(vec[-1]) tmp2=sapply(tmp,function(x)c(vec[1],x)) c(tmp,tmp2) } } #################### ## function: CV1glm--CV1 using K fold CV ## input: y -- response vector; x -- predictors without intercept ## output: the vector whether each predictor should be selected. E.g. (0,1,0,1) means no intecept while var1 and var3 should be selected #################### CV1glm=function(y,x){ n.var=ncol(x) n=nrow(x) comb...