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QIC 45<br />

Arguments<br />

Value<br />

Note<br />

object<br />

a fitted model object of class "gee", "geepack", "geem" or "yags".<br />

... for QIC and QIC u , optionally more fitted model objects.<br />

typeR<br />

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 QIC u .<br />

This implementation is based partly on (revised) code from packages yags (R-Forge) and ape.<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), geem (geeM), and yags (yags on R-Forge).<br />

yags and compar.gee from package ape both provide QIC values.<br />

Examples<br />

data(ohio)<br />

fm1

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