[R-lang] [SPAM] Re: How to use mixed-effects models on multinomial data

[Austin Frank]

On Mon, May 04 2009, Linda Mortensen wrote:

> Dear R-language experts,
>  
> I'm trying to run a logistic regression on ordered multinomial data. -
> The dependent variable is number of correct items with accuracy
> ranging from 0 to 5. I want to use a mixed-effects model, but am
> unsure about how to use this model to fit multinomial data. Can you
> help?

Hi Linda--

I've posted my response to this question at
http://hlplab.wordpress.com/2009/05/07/multinomial-random-effects-models-in-r/.

While I've recently had some success using MCMCglmm for unordered
multinomial data, I have no experience with analyzing ordered
categorical data in R.

The relevant kinds of models are proportional odds regression (the polr
function from the MASS package, for example) and multinomial probit
regression, but I don't know which R packages (if any) allow random
effects in those frameworks.  The post linked above includes a list of
candidate packages that you might want to check out.  At least one,
mprobit, seems to allow structured variance based on a cluster term.

Thanks,
/au


-- 
Austin Frank
http://aufrank.net
GPG Public Key (D7398C2F): http://aufrank.net/personal.asc
-------------- next part --------------
A non-text attachment was scrubbed...
Name: not available
Type: application/pgp-signature
Size: 193 bytes
Desc: not available
URL: <http://pidgin.ucsd.edu/pipermail/r-lang/attachments/20090507/05d1df74/attachment.pgp>