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34 QIC<br />
QIC QIC and quasi-Likelihood for GEE<br />
Description<br />
Usage<br />
Calculate quasi-likelihood under the independence model criterion (QIC) for Generalized Estimating<br />
Equations.<br />
QIC(object, ..., typeR = FALSE)<br />
QICu(object, ..., typeR = FALSE)<br />
quasiLik(object, ...)<br />
Arguments<br />
Value<br />
Note<br />
object a fitted model object of class gee, geepack or yags.<br />
... for QIC and QICu, optionally more fitted model objects.<br />
typeR logical, whether to calculate QIC(R). QIC(R) is based on quasi-likelihood of a<br />
working correlation R model. Defaults to FALSE, and QIC(I) based on independence<br />
model is returned.<br />
If just one object is provided, returns a numeric value with the corresponding QIC; if more than one<br />
object are provided, returns a data.frame with rows corresponding to the objects and one column<br />
representing QIC or QICu.<br />
This implementation is based partly on (revised) code from packages yags (R-Forge) and ape. The<br />
functions are still in experimental stage and should be used with caution.<br />
Author(s)<br />
Kamil Bartoń<br />
References<br />
Pan W. (2001) Akaike’s Information Criterion in Generalized Estimating Equations. Biometrics 57:<br />
120-125<br />
See Also<br />
Hardin J. W., Hilbe, J. M. (2003) Generalized Estimating Equations. Chapman & Hall/CRC<br />
Methods exist for gee (package gee), geeglm (geepack), and yags (yags on R-Forge). yags and<br />
compar.gee from package ape both provide QIC values.
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