Usage
innerAUC_fct(f, data, t, cv.out, cv.in, i, fold, data.out, nr.var, out.s, sd1, c.time, ranking, used.rank, used.rank1se, pred.in, pred.out, pred.out1, auc.out, auc.out1)
Arguments
t
current t.times argument
data.out
training data of outer CV
nr.var
maximum number of variables into model
out.s
predefined output matrix for inner tAUC evaluations
sd1
factor to which sparser solutions should be chosen. Not maximum Survival AUC in inner loop is used in stepwise selection, instead max(survAUC)*sd1 leading to sparser solutions
c.time
as defined in package survAUC time; a positive number restricting the upper limit of the time range under consideration.
ranking
predefined ranking list
used.rank1se
predefined list
pred.in
predefined list for inner predictions
pred.out
predefined list for outer predictions
pred.out1
predefined list for outer predictions with sd1 factor
auc.out
vector of survival AUCs
auc.out1
vector of survival AUCs with sd1 factor