This function performs cross-validation for the catalytic Cox proportional-hazards model (COX) to estimate the likelihood associated with different values of tau. It splits the data into training and testing sets and computes prediction errors for model evaluation.
cross_validation_cox(
formula,
cat_init,
method,
tau_seq,
cross_validation_fold_num,
...
)
A numeric vector containing the average likelihood estimates for each tau value.
A formula specifying the Cox model. Should at least include response variables.
A list containing initialized parameters for the catalytic COX.
Character string specifying the optimization method used in the Cat-Cox model fitting.
A numeric vector of tau values for which to estimate likelihood.
An integer indicating the number of folds for cross-validation.
Additional arguments passed to the cat_cox
function for model fitting.