Dear R users,
I'm trying to fit a survival model using the survreg function with a
Weibull distribution.
I'm using the frailty() function in order to fit a "family" random
effect in my model.
I would like to calculate the estimate for each observation and I know
the predict() function doesn't work with mixed models. Hence, I was
wondering if I could use the output model$frail and
model$linear.predictors to do this.
Would anyone have an advice on this topic?
Best regards,
Nicolas
N. Rode
PhD student
CEFE (Centre d'Ecologie Fonctionnelle et Evolutive)
34293 Montpellier, France
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