[R] testing fixed effects in lmer

From: Achaz von Hardenberg <fauna_at_pngp.it>
Date: Mon, 7 Jan 2008 01:02:43 +0100


Dear all,
I am performing a binomial glmm analysis using the lmer function in the lme4 package (last release, just downloaded). I am using the "Laplace method".

However, I am not sure about what I should do to test for the significance of fixed effects in the binomial case: Is it correct to test a full model against a model from which I remove the fixed effect I want to test using the anova(mod1.lmer, mod2.lmer) method and then relying on the model with the lower AIC (or on the Log- likelihood test?)?

I thank in advance for your help!

best regards,
Achaz von Hardenberg




Centro Studi Fauna Alpina - Alpine Wildlife Research Centre Servizio Sanitario e della Ricerca Scientifica Parco Nazionale Gran Paradiso, Degioz, 11, 11010-Valsavarenche (Ao), Italy

E-mail: achaz.hardenberg_at_pngp.it

             fauna_at_pngp.it
Skype: achazhardenberg

      Tel.: +39.0165.905783
      Fax: +39.0165.905506

Mobile: +39.328.8736291

        [[alternative HTML version deleted]]



R-help_at_r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Mon 07 Jan 2008 - 00:07:19 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Mon 07 Jan 2008 - 15:30:05 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive