subcluster

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

This is a special function used in the context of survival nested models.  It
identifies correlated groups of observations within other groups defined by using 
'cluster' function from 'survival' package, and is used on the right hand
side of 'frailtyPenal' formula for fitting a nested model.  Using <code>subcluster()</code> in a formula implies that
a nested frailty model is estimated.

misc

Frailtypack fits several classes of frailty models using a penalized likelihood
        estimation on the hazard function but also a parametric estimation.
        1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox
        proportional hazard model. Clustered and recurrent survival times can be studied.
        2) Additive frailty models for proportional hazard models with two correlated
        random effects (intercept random effect with random slope).
        3) Nested frailty models for hierarchically clustered data (with 2 levels of
        clustering) by including two iid gamma random effects.
        4) Joint frailty models in the context of joint modelling for recurrent events
        with terminal event for clustered data or not.
        Prediction values are available. Left-truncated (not for Joint model),
        right-censored data, interval-censored data (only for Cox proportional hazard
        and shared frailty model) and strata are allowed. In each model,
        the random effects have a gamma distribution, but you can switch to a log-normal
        in shared and joint models. Now, you can also consider time-varying covariates
        effects in Cox, shared and joint models. The package includes concordance measures
        for Cox proportional hazards models and for shared frailty models.

subcluster: Identify subclusters

Description

Usage

Arguments

Value

See Also

Examples