Description Usage Arguments Note References
Plot of the relative parameter change due to addition of each observation. In
fact, it nicely plots residuals.survreg(model, type = "dfbeta")
for each fixed effect separately.
1 | Iplot(model, limit = 10)
|
model |
An object of class |
limit |
Relative parameter changes above |
If the model
includes frailties, they have to be estimated with
sparse = FALSE
to allow the residuals to be extracted.
W. R. Swindell, „ACCELERATED FAILURE TIME MODELS PROVIDE A USEFUL STATISTICAL FRAMEWORK FOR AGING RESEARCH“, Exp Gerontol, Bd. 44, Nr. 3, S. 190–200, März 2009.
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