Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111
> -----Original Message-----
> From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-
> models-bounces at r-project.org] On Behalf Of Stijn Ruiter
> Sent: Saturday, January 31, 2009 4:31 AM
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] Jointly testing several parameters of factor
> variable
>
> Hi all,
> I am estimating a lmer model and now I would like to test whether some
> coefficients for specific levels of factor variable are equal.
> I am thinking of either:
> (1) applying equality constraints on several parameters for specific
> levels of a factor variable (and use that to do LRT against model
> without equality constraints), but I have no clue on how to that; or
> (2) do a Wald test in which several parameter estimates of a factor
> variable are jointly tested. Although I noticed "wald.test" from the
> "aod" package, but I don't quite follow how to apply that to my lmer
> model.
>
> Any suggestions on how to jointly test several parameters of a lmer
> model (preferably applied to factor variables)?
>
> Stijn
>
> --
> Best regards,
>
> Stijn Ruiter
> Department of Sociology / ICS
> Radboud University Nijmegen
> P.O. Box 9104
> 6500 HE Nijmegen
> Netherlands
>
> Phone: + 31 24 361 2272
> Fax: + 31 24 361 2399
>
> Visiting address:
> Thomas van Aquinostraat 4.01.71
> Nijmegen
>
> website: http://oase.uci.ru.nl/~sruiter
>
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