predictnl-methods

predictnl,mle2-method


 ~~ Methods for function <code>predictnl</code>  ~~


methods

R implementation of generalized survival models, where g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth. For fully parametric models, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects.

Mark Clements

rstpm2

Generalized Survival Models

predictnl-methods function

<dl> <dt>predictnl</dt><dd><code>signature(object = "mle2", ...)</code>: Similar to
    predictnl.default, using S4 methods. </dd> </dl> 

predictnl-methods: Methods for Function predictnl

Description

Arguments

Methods