fin_surv_model_fct: Building the final survRank model

In SurvRank: Rank Based Survival Modelling

Description

This function builds the final survRank model

Usage

fin_surv_model_fct(f, data, cv.out, nr.var = 10, c.time = NA)

Arguments

f	ranking approach function. One of fsSurvRankConc, fsSurvRankGlmnet, fsSurvRankRf, fsSurvRankBoost, fsSurvRankCox, fsSurvRankRandCox, fsSurvRankRpart, fsSurvRankWang, fsSurvRankitBMA or NA, no calculation
data	same list used as input in CVrankSurv_fct
cv.out	number of folds in outer cross validation loop (for estimation of the predictive accuracy)
nr.var	Number of variables up to which stepwise selection should be carried out. Has to be smaller than n number of observations.
c.time	as defined in UnoCsurvAUC time; a positive number restricting the upper limit of the time range under consideration

Details

details to follow

Value

Output of the riskscore_fct, basically a list containing the following elements

ranking	ranking of the variables in the data set using the ranking apporach function
used.rank	variables used in the survRank model according to the number of parameters to be used
model	cox regression model for the selected features
sum.model	summary of the fitted cox model

SurvRank documentation built on May 30, 2017, 2:53 a.m.