cv_frailty: K-Fold Cross Validation for MultiFrailty Models

In MultiFrailty: Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions

K-Fold Cross Validation for MultiFrailty Models

Description

K-Fold Cross Validation for MultiFrailty Models

Usage

cv_frailty(
  time,
  status,
  x = matrix(nrow = length(time), ncol = 0),
  baseline = "weibull",
  frailty = "gamma",
  k = 5L,
  time2 = NULL
)

Arguments

time	Time vector.
status	Status vector.
x	Covariate matrix.
baseline	Baseline distribution.
frailty	Frailty distribution.
k	Number of folds. Default is 5L.
time2	Optional upper interval bound vector.

Value

Out-of-sample total log-likelihood score.

MultiFrailty documentation built on Aug. 8, 2026, 1:07 a.m.