Hello,
I'm running a simulation study of a multilevel model with binary
response using the binomial probit link. It is a random intercept and
random slope model. GLMMPQL and lmer fail to converge on a
*significant* portion of the *generated* datasets, while MlWin gives
reasonable estimates on those datasets. This is unacceptable. Does
anyone has similar experiences?
Regards,
Roel de Jong
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