msSurv_fct: Function selects for the ranking function approaches
In SurvRank: Rank Based Survival Modelling

This wrapper function passes the ranking method to further functions.

1 2	msSurv_fct(data, fold, fs.method, ncl, cv.out, cv.in, nr.var, t = 1, sd1 = 0.9, c.time, ...)

`data`	data input
`fold`	outer CV fold
`fs.method`	ranking method
`ncl`	number of clusters for parallel computing
`cv.out`	number of folds in outer cross validation loop (for estimation of the predictive accuracy)
`cv.in`	number of folds in inner cross validation loop (for model selection on the training set)
`nr.var`	Number of variables up to which stepwise selection should be carried out. Has to be smaller than n number of observations.
`t`	current t.times argument
`c.time`	as defined in package `survAUC` time; a positive number restricting the upper limit of the time range under consideration.