fin_surv_model_fct

ranking approach function. One of <code>fsSurvRankConc</code>, <code>fsSurvRankGlmnet</code>, <code>fsSurvRankRf</code>, <code>fsSurvRankBoost</code>, <code>fsSurvRankCox</code>, <code>fsSurvRankRandCox</code>, <code>fsSurvRankRpart</code>, <code>fsSurvRankWang</code>, <code>fsSurvRankitBMA</code> or NA, no calculation

same list used as input in <code><a rd-options="" href="/link/CVrankSurv_fct?package=SurvRank&version=0.1" data-mini-rdoc="SurvRank::CVrankSurv_fct">CVrankSurv_fct</a></code>

data

number of folds in outer cross validation loop (for estimation of the predictive accuracy)

cv.out

Number of variables up to which stepwise selection should be carried out. Has to be smaller than n number of observations.

nr.var

as defined in UnoCsurvAUC time; a positive number restricting the upper limit of the time range under consideration

c.time


This function builds the final survRank model


SurvRank

Estimation of the prediction accuracy in a unified survival AUC
approach. Model selection and prediction estimation based on a survival AUC.
Stepwise model selection, based on several ranking approaches.

fin_surv_model_fct: Building the final survRank model

Description

Usage

Arguments

Value

Details