[R-sig-ME] Multinomial models
David.Duffy at qimr.edu.au
Fri Feb 8 03:16:17 CET 2008
On Thu, 7 Feb 2008, Douglas Bates wrote:
> I should have been more explicit. One can use any of the families
> defined in the stats package for R, including the quasi family.
> They could be extended but that would need a definition of inverse
> link, the derivative of the inverse link and the variance function for
> any new families that are to be incorporated.
Austin Frank asked
>> Unsurprisingly, I'm wondering whether the above change will enable me to
>> model a multinomial dependent variable using glmer. Is this now
I can imagine a proportional odds/multiple threshold mixed model in lmer,
but don't see how Gaussian distributed random effects could be included
in a multinomial model without going to some type of a multivariate model.
To AF: May I ask how you currently deal with such data, LCA/LSA etc with
latent categorical or continuous variables?
To DB: Will lmer eventually allow multivariate models and arbitrary
distributions for the random effects (eg mixtures of normals, other
parametric distributions)? Are they already in there somewhere ;)
Cheers, David Duffy.
| David Duffy (MBBS PhD) ,-_|\
| email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / *
| Epidemiology Unit, Queensland Institute of Medical Research \_,-._/
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