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