如何在R中使用survivingsvm绘制生存曲线？

Question

I have read the usage of svm in survival analysis in R. Now I have implemented it by using the package survivalsvm in R. I have a dataset df_acn .

library(survivalsvm)
set.seed(2)
train <- sample(nrow(df_acn), 0.3*nrow(df_acn), replace = FALSE)
Train <- df_acn[train,]
Valid <- df_acn[-train,]
surv_model <- survivalsvm(Surv(Line_Tenure_In_Days, churn) ~ .-(Subscriber_Line_Id), Train,type = "regression", gamma.mu = 1,
                          opt.meth = "ipop", kernel = "add_kernel")

surv_model_prd <- predict( surv_model, Valid)

Now my question is how to plot the survival curve using the fitted model on the test set in R. I searched the internet but could not find much of help from there.

Answer 1

It is not possible to plot a survival curve from an survivalsvm object. Predicted values should be interpreted as ranks as described in fouodo et al. (2018). So appropriate performance measure when using survivalsvm is the C-Index .