"gee.fit"
that represents a fit of a Generalized Estimation Equation model.
gee.fit(design)
geeDesign object.
See
geeDesign.object for details.
"gee.fit" is returned.
See
gee.fit.object for details.
gee.fit is an extension of the
gee
function,
allowing experienced users to fit more complicated GEE model as specified
in a call to
geeDesign.
Users have to be familiar with the
gee
,
corDesign,
varDesign
and
geeDesign
functions
before calling
gee.fit.
The output of
gee.fit can be examined using
print
,
summary,
plot
, and
anova
.
Components can be extracted using
coef,
predict
,
fitted,
residuals
,
formula
,
family
.
Liang, K.Y. and Zeger, S.L. (1986). Longitudinal data analysis using generalized linear models. Biometrika 73 13-22.
Zeger, S.L. and Liang, K.Y. (1986). Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42 121-130.
x <- geeDesign(y~Time+group, cluster=Subject, variance="glm.scale", data=Seizure, correlation="exchangeable", family = poisson, link=log, control=geeControl(trace = T)) gee.fit(x) x <- geeDesign(y~Time + group, cluster=Subject, variance=0.02, family=Gamma, link="power(1.5)", correlation=list(type="contAR", x.layer="Time"), data=na.omit(SpruceGrpd)) gee.fit(x)