Fits a Random Survival Forest using the log-rank splitting rule.
Includes capabilities for hyperparameter tuning via grid search over ntree,
nodesize, and mtry.
Usage
rsf_pro(X, y_surv, tune = FALSE, tune_params = NULL)
Arguments
- X
A data frame of predictors.
- y_surv
A Surv object containing time and status.
- tune
Logical. If TRUE, performs grid search for optimal hyperparameters based on C-index.
- tune_params
Optional data frame containing the grid for tuning.
Value
An object of class survival_rsf and pro_model.