Dear R users:
I am using lmer fo fit binomial data with a probit link function:
> fer_lmer_PQL<-lmer(fer ~ gae + ctipo + (1|perm) -1,
+ family = binomial(link="probit"),
+ method = 'PQL',
+ data = FERTILIDAD,
+ msVerbose= True)
The output look like this:
> fer_lmer_PQL
Generalized linear mixed model fit using PQL
Formula: fer ~ gae + ctipo + (1 | perm) - 1
Data: FERTILIDAD
Family: binomial(probit link)
AIC BIC logLik deviance
2728.086 2918.104 -1332.043 2664.086
Random effects:
Groups Name Variance Std.Dev.
perm (Intercept) 0.28256 0.53156
# of obs: 2802, groups: perm, 529
Estimated scale (compare to 1) 0.8958656
My question is about the meaning of "Estimated scale (compare to 1) 0.8958656
"
I think that the scale would be 0.28256+1.0, Isn´t it?
Thanks in advance,
Juan Pablo Sánchez
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