innerAUC_fct: Calculates inner and outer survival AUCs of training and...
In SurvRank: Rank Based Survival Modelling

work-horse function for all ranking methods with inner and outer CV loops

1
2
3

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)

`f`	ranking function
`data`	data input
`t`	current t.times argument
`cv.out`	number of outer CV
`cv.in`	number of inner CV
`i`	current counter index
`fold`	current fold
`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.rank`	predefined 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