svyglm fit method?

Dear list,
I am using svyglm in the survey library to fit a binomial logistic regression 
accounting for sample design.  The documentation says the models are not fit by 
maximum likelihood, so my question is what is the fitting method?  Pseudo 
likelihood?  Generalized least squares?  Thanks for any insight.

They are fitted by maximizing the Horvitz--Thompson estimator of the population loglikelihood.  This may be what you mean by pseudo likelihood.

Operationally, the point estimates come from glm.fit() with the sampling weights as weights (the standard errors are different, of course).

      -thomas

Thomas Lumley			Assoc. Professor, Biostatistics
tlumley at u.washington.edu	University of Washington, Seattle