[R] glmmPQL

[Alex]

Dear listmembers,

I've adjusted a mixed model with glmmPQL:

nulo<-glmmPQL(POS~1,random=~1|GRUPO, family=binomial, data=new)

and I've reched the following results:

Linear mixed-effects model fit by maximum likelihood
 Data: new 
      AIC      BIC    logLik
  53238.5 53260.74 -26616.25

Random effects:
 Formula: ~1 | GRUPO
        (Intercept)  Residual
StdDev:   0.3402137 0.9952645

Variance function:
 Structure: fixed weights
 Formula: ~invwt 
Fixed effects: POS ~ 1 
                Value  Std.Error    DF  t-value p-value
(Intercept) 0.6214472 0.03723763 12025 16.68869       0

Standardized Within-Group Residuals:
       Min         Q1        Med         Q3        Max 
-1.7831032 -1.2642113  0.6508504  0.7058691  1.1945426 

Number of Observations: 12227
Number of Groups: 202 

Could someone clarify me? I don't understand why DF=12025 in the intercept t-test above, if the objective is to estimate only one mean for all groups (mean=0,6214472). I expected that this DF would equal 201, as I have 202 groups.

Thanks in advance, Alex



 




 
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