grpreg grouped Cox backend

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.

Value

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

Details

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

See also

peperr, grpsurv, cv.grpreg