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
Formulated more directly, are there plans for the implementation of the
crude but more robust Marginal Quasi Likelihood estimation in for
example LME?
Regards,
Roel de Jong
Roel de Jong wrote:
Hello,
I'm running a simulation study of a multilevel model with binary
response using
Message-
From: [EMAIL PROTECTED] on behalf of Roel de Jong
Sent: Tue 11/1/2005 6:05 PM
To: r-help
Cc:
Subject:Re: [R] glmmpql and lmer keep failing
Formulated more directly, are there plans for the implementation of the
crude but more robust Marginal Quasi Likelihood
Hi,
I believe we could extend our upcoming release of our
freely available AD Model Builder negative binomial mixed model
http://otter-rsch.com/admbre/admbre.html
packaqge for R to include your model. Writing the model is
simple, it is the interface with R that is a bit more
PROTECTED] on behalf of Roel de Jong
Sent: Tue 11/1/2005 6:05 PM
To: r-help
Cc:
Subject:Re: [R] glmmpql and lmer keep failing
Formulated more directly, are there plans for the implementation of the
crude but more robust Marginal Quasi Likelihood estimation in for
example LME
