cross_validation_lmm {catalytic} | R Documentation |
Perform Cross-Validation for Catalytic Linear Mixed Model (LMM) to Select Optimal tau
Description
This function performs cross-validation for the catalytic linear mixed model (LMM) to estimate the risk associated with different values of tau. It splits the data into training and testing sets and computes prediction errors for model evaluation.
Usage
cross_validation_lmm(cat_init, tau_seq, cross_validation_fold_num = 5)
Arguments
cat_init |
A list containing initialized parameters for the catalytic LMM. |
tau_seq |
A numeric vector of tau values for which to estimate risk. |
cross_validation_fold_num |
An integer indicating the number of folds for cross-validation. |
Value
A numeric vector containing the average risk estimates for each tau value.
[Package catalytic version 0.1.0 Index]