求大神帮忙解答下面代码的含义。尽量每一行都解释一下

# model1
fit_RSF1_1 <- rfsrc(Surv(tcen,CVD)~SBP+FBG+TC+HDL, data = data_train, ntree=50)
predict_RSF1 <- predict(fit_RSF1_1, data_train)
predict_RSF_sur1 <- predict_RSF1$survival
sur_cen1 <- predict_RSF_sur1[, ncol(predict_RSF_sur1)]
haz_cen1 <- 1-sur_cen1

result1 <- roc(data_train$CVD,as.numeric(haz_cen1),plot=F,smooth = F)
ci1_min<- ci(data_train$CVD,haz_cen1)[1]
ci1_max<- ci(data_train$CVD,haz_cen1)[3]
aucera11<- auc(data_train$CVD,haz_cen1)

Youden_index1<- result1$sensitivities + result1$specificities - 1
cut_off1 <- result1$thresholds[which.max(Youden_index1)]
sen1 <- result1$sensitivities[which.max(Youden_index1)]
spe1<- result1$specificities[which.max(Youden_index1)]
oe1 <- sum(data_train$CVD)/sum(haz_cen1)

1. # model1
   
2. fit_RSF1_1 <- rfsrc(Surv(tcen,CVD)~SBP+FBG+TC+HDL, data = data_train, ntree=50)
   
3. predict_RSF1 <- predict(fit_RSF1_1, data_train)
   
4. predict_RSF_sur1 <- predict_RSF1$survival
   
5. sur_cen1 <- predict_RSF_sur1[, ncol(predict_RSF_sur1)]
   
6. haz_cen1 <- 1-sur_cen1
   
7. 
   
8. result1 <- roc(data_train$CVD,as.numeric(haz_cen1),plot=F,smooth = F)
   
9. ci1_min<- ci(data_train$CVD,haz_cen1)[1]
   
10. ci1_max<- ci(data_train$CVD,haz_cen1)[3]
    
11. aucera11<- auc(data_train$CVD,haz_cen1)
    
12. 
    
13. Youden_index1<- result1$sensitivities + result1$specificities - 1
    
14. cut_off1 <- result1$thresholds[which.max(Youden_index1)]
    
15. sen1 <- result1$sensitivities[which.max(Youden_index1)]
    
16. spe1<- result1$specificities[which.max(Youden_index1)]
    
17. oe1 <- sum(data_train$CVD)/sum(haz_cen1)

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重新附上代码  谢谢各位了