Message-ID: <ED7B522EE00C9A4FA515AA71724D61EE0128D1AA@DC1EXCL01.air.org>
Date: 2008-09-18T20:18:56Z
From: Doran, Harold
Subject: Ability estimates for partial credit model
In-Reply-To: <48D24629.8030306@guest.arnes.si>
Yes, see the irt.ability function in the MiscPsycho package. This has
methods for maximum likelihood, and the two common bayesian estimates
(MAP, EAP). I am right now writing code for test characteristic methods.
> -----Original Message-----
> From: r-help-bounces at r-project.org
> [mailto:r-help-bounces at r-project.org] On Behalf Of Andrej Kastrin
> Sent: Thursday, September 18, 2008 8:15 AM
> To: r-help
> Subject: [R] Ability estimates for partial credit model
>
> Dear all,
>
> I'm working on ability estimates using Rasch model. Using the "ltm"
> package, the procedure is quite simple:
>
> ## Factor Scores for the Rasch model
> fit <- rasch(LSAT)
> factor.scores(fit)
>
> What about Partial Credit Model (PCM)? For PCM I use PCM
> function from eRm package. Is there any similar function like
> factor.scores to estimate ability scores using PCM model?
>
> Best, Andrej
>
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