cluster: Identify clusters

In frailtypack: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints

Identify clusters

Description

This is a special function used in the context of the models for grouped data. It identifies correlated groups of observations defined by using 'cluster' function, and is used of 'frailtyPenal' formula for fitting univariate and joint models.

Usage

cluster(x)

Arguments

x	A character, factor, or numeric variable which is supposed to indicate the variable group

Value

x	A variable identified as a cluster

See Also

frailtyPenal

Examples

data(readmission)
modSha <- frailtyPenal(Surv(time,event)~as.factor(dukes)+cluster(id),
n.knots=10,kappa=10000,data=readmission,hazard="Splines")

print(modSha)

frailtypack documentation built on Nov. 25, 2023, 9:06 a.m.