[R-sig-ME] Master's Partial Credit with lmer [was:RE: lmer]

[Iasonas Lamprianou]

Thank you Doran for your response. If anyone else is aware of any other R package that can run multilevel Rasch/IRT models, please respond.

Jason

Dr. Iasonas Lamprianou
Department of Education
The University of Manchester
Oxford Road, Manchester M13 9PL, UK
Tel. 0044  161 275 3485
iasonas.lamprianou at manchester.ac.uk


--- On Sat, 6/12/08, Doran, Harold <HDoran at air.org> wrote:

> From: Doran, Harold <HDoran at air.org>
> Subject: Master's Partial Credit with lmer [was:RE: [R-sig-ME] lmer]
> To: lamprianou at yahoo.com, r-sig-mixed-models at r-project.org
> Date: Saturday, 6 December, 2008, 3:34 PM
> The answer is no, the PCM cannot be run using lmer. Also, it
> is best not to ask a new question by replying to a different
> thread.
> 
> Harold
> 
> 
> -----Original Message-----
> From: r-sig-mixed-models-bounces at r-project.org on behalf of
> Iasonas Lamprianou
> Sent: Fri 12/5/2008 5:10 PM
> To: r-sig-mixed-models at r-project.org
> Subject: Re: [R-sig-ME] lmer
>  
> Dear friends, 
> does anyone know how (if) I can run a multilevel Partial
> Credit Rasch model using lmer? I am aware of the
> "Estimating the Multilevel Rasch Model: With the lme4
> Package" but I think that this only refers to the
> dichotomous Rasch case. Or, alternatively, redirect me to
> any other free package that can handle multilevel Rasch/IRT
> models. 
> Thanks
> 
> Dr. Iasonas Lamprianou
> Department of Education
> The University of Manchester
> Oxford Road, Manchester M13 9PL, UK
> Tel. 0044  161 275 3485
> iasonas.lamprianou at manchester.ac.uk
> 
> 
> --- On Thu, 4/12/08,
> r-sig-mixed-models-request at r-project.org
> <r-sig-mixed-models-request at r-project.org> wrote:
> 
> > From: r-sig-mixed-models-request at r-project.org
> <r-sig-mixed-models-request at r-project.org>
> > Subject: R-sig-mixed-models Digest, Vol 24, Issue 4
> > To: r-sig-mixed-models at r-project.org
> > Date: Thursday, 4 December, 2008, 11:00 AM
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> > Today's Topics:
> > 
> >    1. Logisting regression for same-different speaker
> >       classification (Leonardo LANCIA)
> > 
> > 
> >
> ----------------------------------------------------------------------
> > 
> > Message: 1
> > Date: Wed, 3 Dec 2008 12:03:02 +0100 (CET)
> > From: Leonardo LANCIA
> > <Leonardo.Lancia at univ-provence.fr>
> > Subject: [R-sig-ME] Logisting regression for
> same-different
> > speaker
> > 	classification
> > To: r-sig-mixed-models at r-project.org
> > Message-ID:
> >
> <9555723.429.1228302182606.JavaMail.root at frontal1>
> > Content-Type: text/plain; charset=iso-8859-1
> > 
> > Dear List,
> > 
> > I would like to use a mixed logistic regression model
> as a
> > classifier which decides if two speech signals
> representing
> > two istances of the same phoneme (uttered in a
> specified
> > phentic context) are produced by the same speaker or
> not. To
> > do that I should use a huge number of predictors (more
> or
> > less 50 acoustic features). More over, for each
> acoustic
> > feature I should specify a random interaction with the
> > following factors : the phonetic label attached to the
> > acoustic signals, and a phonetic label correspoding to
> the
> > context from which the acoustic signals are extracted.
> 
> > I am not interested in hypotesis testing but I would
> like
> > to have an estimation of the contributoin to this task
> of
> > each of the predictors and an estimate of the
> correction
> > coefficients associated to the random effects.
> > Do you think that a mixed logistic regression would do
> the
> > job or should I move to Support vector machines
> algorithms?
> > 
> > Leonardo Lancia
> > 
> > 
> > 
> > ------------------------------
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> > End of R-sig-mixed-models Digest, Vol 24, Issue 4
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