ncvreg survival backend

Wrappers for Cox models fitted with ncvreg.

Usage

fit.ncvsurv(response, x, cplx, ...)
complexity.cv.ncvsurv(response, x, full.data, ...)
# S3 method for class 'ncvsurv'
predictProb(object, response, x, times, complexity = NULL, ...)
# S3 method for class 'ncvsurv'
PLL(object, newdata, newtime, newstatus, complexity = NULL, ...)

Arguments

response

survival response as a Surv object or a two-column time/status matrix.

x

covariate matrix.

cplx

selected lambda value.

full.data

full data frame, accepted for the peperr complexity-function contract.

object

a fitted ncvsurv object.

times

evaluation times for survival probabilities.

complexity

selected lambda value.

newdata

new covariate matrix.

newtime

vector of follow-up times.

newstatus

vector of event indicators.

...

additional arguments passed to ncvsurv, cv.ncvsurv, or predict.

Value

Fitted ncvsurv objects, selected lambda values, survival-probability matrices, and numeric predictive partial log-likelihood values, respectively.

Details

The implementation first tries the native ncvreg survival prediction method. If that is unavailable for the installed version, it falls back to a Breslow baseline built from stored training data and linear predictors.

See also

peperr, predictProb, PLL