[R] lmer BIC changes between output and anova

[lorenz.gygax at art.admin.ch]

The two models that you compare differ in their fixed effects. As far as lme had been concerned, the anova gave a warning because one should not compare two models differing in their fixed effects if they had been estimated with REML (Pinheiro & Bates, 2000).

I guess the issue is still the same using lmer (but anyone please correct me, if I am wrong) but perhaps the warning message is currently not implemented.

Regards, Lorenz
- 
Lorenz Gygax
Centre for proper housing of ruminants and pigs
Swiss Federal Veterinary Office
Agroscope Reckenholz-Tänikon Research Station ART


> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Darren M. Ward
> Sent: Thursday, October 05, 2006 5:18 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] lmer BIC changes between output and anova
> 
> list,
> 
> i am using lmer to fit multilevel models and trying to use 
> anova to compare the models.  however, whenever i run the 
> anova, the AIC, BIC and loglik are different from the 
> original model output- as below.  can someone help me out 
> with why this is happening?  (i'm hoping the output 
> assocaited with the anova is right!).
> 
> thank you,
> 
> darren
> 
> > unconditional<-lmer(log50 ~ 1 + (1 | Stream:Site) + 
> (1|Stream), data)
> > summary(unconditional)
> Linear mixed-effects model fit by REML 
> Formula: log50 ~ 1 + (1 | Stream:Site) + (1 | Stream) 
>    Data: data 
>     AIC    BIC logLik MLdeviance REMLdeviance
>  -138.8 -132.8  72.42     -150.4       -144.8
> 
> 
> > nosection<-lmer(log50 ~ 1 + meanlogATS + residuallogATS + 
> (1 | Stream:Site) + (1|Stream), data)
> > summary(nosection)
> Linear mixed-effects model fit by REML 
> Formula: log50 ~ 1 + meanlogATS + residuallogATS + (1 | 
> Stream:Site) +      (1 | Stream) 
>    Data: data 
>     AIC    BIC logLik MLdeviance REMLdeviance
>  -140.8 -130.7   75.4     -168.9       -150.8
> 
> 
> > anova(unconditional, nosection)
> Data: data
> Models:
> unconditional: log50 ~ 1 + (1 | Stream:Site) + (1 | Stream)
> nosection: log50 ~ 1 + meanlogATS + residuallogATS + (1 | 
> Stream:Site) + 
> unconditional:     (1 | Stream)
>               Df      AIC      BIC   logLik  Chisq Chi Df 
> Pr(>Chisq)    
> unconditional  3 -144.370 -138.294   75.185                   
>           
> nosection      5 -158.861 -148.734   84.430 18.491      2  
> 9.657e-05 ***
> 
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