ncvreg-backend: ncvreg survival backend

In peperr: Parallelised Estimation of Prediction Error

ncvreg survival backend

Description

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.

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.

Value

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

See Also

peperr, predictProb, PLL

peperr documentation built on March 25, 2026, 9:06 a.m.