ndidate,c_hat) {
k=length(model.candidate$coefficients)+1 # add 1 for the estimate of
c_hat
(model.candidate$deviance/c_hat)+2*k
}
Thank you again for your correspondance and assistance.
Sincerely,
Darren Gillis
__
R-help@r-project.or
Thank you for the rapid response. I have no trouble in following your
example, but I was specificly interested in calculating QAIC and QAICc from
a glm fitted with the "family=quasibinomial" option. This provides an
estimate of dispersion, but does not contain an explicit value for AIC or
log-lik
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