So, do I need to use Bayesian method with MCMCglmm for ordered response
model in
hierarchical data structure always? Is it the case in HLM package, too?
Thanks.

-Chang

On Fri, Feb 26, 2010 at 3:46 PM, Doran, Harold <HDoran@air.org> wrote:

> I don't believe you are wrong, Jarrod. glmer, AFAIK, does not have links
> for ordered logit/probit or multinomial links
>
> -----Original Message-----
> From: Jarrod Hadfield [mailto:j.hadfield@ed.ac.uk]
> Sent: Friday, February 26, 2010 3:43 PM
> To: Doran, Harold
> Cc: jungck; r-sig-mixed-models@r-project.org
> Subject: Re: [R-sig-ME] glmer ordered response models
>
> Hi,
>
> Just to avoid confusion - "ordinal" is the family argument for ordered
> response models in MCMCglmm not "categorical".  If your response has
> two levels then it makes no difference (except "categorical" uses the
> logit link and "ordinal" uses the probit link). You can fit this in
> glmer using  family = "binomial(link="logit") or family =
> "binomial(link="probit"). If there are more than two levels I think it
> is not possible to fit the model in glmer, but could be wrong.
>
> Cheers,
>
> Jarrod
>
>
>
>
>
>
> Quoting "Doran, Harold" <HDoran@air.org>:
>
> > See ?family for available link functions.
> >
> > -----Original Message-----
> > From: r-sig-mixed-models-bounces@r-project.org
> > [mailto:r-sig-mixed-models-bounces@r-project.org] On Behalf Of jungck
> > Sent: Friday, February 26, 2010 2:59 PM
> > To: r-sig-mixed-models@r-project.org
> > Subject: [R-sig-ME] glmer ordered response models
> >
> > Hi, all.
> >
> > I am a new comer to lmer package in R.
> > When I run a ordered response model, I couldn't
> > figure out what is the option name for "family=" option.
> > R keep saying error warnings when I use family="categorical", which
> > seem to be used in MCMCglmm package. I don't know how to do bayesian
> > model. so I want to know how to do glmer function with ordered dependent
> > variable.
> >
> > Thanks for your help!
> >
> > -CK
> >
> >       [[alternative HTML version deleted]]
> >
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> >
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> >
> >
>
>
>
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