Fit a Generalized Estimation Equation Model with Structured Covariance

DESCRIPTION:

Returns an object of class "gee.fit" that represents a fit of a Generalized Estimation Equation model.

USAGE:

gee.fit(design) 

REQUIRED ARGUMENTS:

design
a geeDesign object. See geeDesign.object for details.

VALUE:

An object of class "gee.fit" is returned. See gee.fit.object for details.

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 .

REFERENCES:

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.

SEE ALSO:

, , , .

EXAMPLES:

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)