Cross-Validated cox_indi to Tune etas
cv.cox_indi.RdPerforms K-fold cross-validation over candidate etas. Internal data are split into folds.
For each fold, the model is trained on the internal training split plus the full external dataset,
then evaluated on the held-out internal fold.
Usage
cv.cox_indi(
z_int,
delta_int,
time_int,
stratum_int = NULL,
z_ext,
delta_ext,
time_ext,
stratum_ext = NULL,
etas,
nfolds = 5,
criteria = c("V&VH", "LinPred", "CIndex_pooled", "CIndex_foldaverage"),
c_index_stratum = NULL,
max_iter = 100,
tol = 1e-07,
message = FALSE,
seed = NULL
)Arguments
- z_int, delta_int, time_int, stratum_int
Internal data.
- z_ext, delta_ext, time_ext, stratum_ext
External data (always fully included in training).
- etas
Numeric vector of candidate eta values (must be provided).
- nfolds
Number of folds (default 5).
- criteria
Performance criterion.
- c_index_stratum
Optional stratum vector used for C-index evaluation on internal data.
- max_iter, tol
Passed to
cox_indi.- message
Logical; print progress (default FALSE).
- seed
Optional seed for reproducible folds.
Value
An object of class "cv.cox_indi" with components:
internal_stat: data.frame of CV stats by etabeta_full: matrix of full-data estimates (p x length(etas))best: list withbest_eta,best_beta,criteria
Examples
if (FALSE) { # \dontrun{
## Load example individual-level data
data(ExampleData_indi)
z_int <- ExampleData_indi$internal$z
delta_int <- ExampleData_indi$internal$status
time_int <- ExampleData_indi$internal$time
stratum_int <- ExampleData_indi$internal$stratum
z_ext <- ExampleData_indi$external$z
delta_ext <- ExampleData_indi$external$status
time_ext <- ExampleData_indi$external$time
stratum_ext <- ExampleData_indi$external$stratum
## Generate candidate eta values
eta_list <- generate_eta(method = "exponential", n = 50, max_eta = 20)
## Cross-validated tuning of eta
cv_fit <- cv.cox_indi(
z_int = z_int,
delta_int = delta_int,
time_int = time_int,
stratum_int = stratum_int,
z_ext = z_ext,
delta_ext = delta_ext,
time_ext = time_ext,
stratum_ext = stratum_ext,
etas = eta_list,
nfolds = 5,
criteria = "CIndex_pooled"
)
} # }