grpreg-backend: grpreg grouped Cox backend

In peperr: Parallelised Estimation of Prediction Error

grpreg grouped Cox backend

Description

Wrappers for grouped survival models fitted with grpreg.

Usage

fit.grpsurv(response, x, cplx, group, ...)
complexity.cv.grpsurv(response, x, full.data, group, ...)
## S3 method for class 'grpsurv'
predictProb(object, response, x, times, complexity = NULL, ...)
## S3 method for class 'grpsurv'
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.
group	group membership vector for the columns of x.
full.data	full data frame, accepted for the peperr complexity-function contract.
object	a fitted grpsurv 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 grpsurv, cv.grpreg, or predict.

Details

The grouped backend exposes grouped lasso, grouped MCP, grouped SCAD, and related penalties through the native grpreg arguments passed in ....

Value

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

See Also

peperr, grpsurv, cv.grpreg

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