| complexity.mincv.CoxBoost {peperr} | R Documentation |
Determines the number of boosting steps for a survival model fitted by CoxBoost via cross-validation, conforming to the calling convention required by argument complexity in peperr call.
complexity.mincv.CoxBoost(response, x, full.data, ...)
response |
a survival object (Surv(time, status)). |
x |
n*p matrix of covariates. |
full.data |
data frame containing response and covariates of the full data set. |
... |
additional arguments passed to cv.CoxBoost call. |
Function is basically a wrapper around cv.CoxBoost of package CoxBoost. A K-fold cross-validation (default K=10) is performed to search the optimal number of boosting steps, per default in the interval (0, maxstepno=100). The number of boosting steps with minimum mean partial log-likelihood is returned. Calling peperr, the default arguments of cv.CoxBoost can be changed by passing a named list containing these as argument args.complexity.
Scalar value giving the optimal number of boosting steps.
peperr, cv.CoxBoost