[R] variance using lmer
Per Theilgaard
peth at dca.upv.es
Fri Apr 28 12:27:16 CEST 2006
Dear R help
I have a question on the variance of the binomial probit model.
I have fitted the following model :
> lmer1<-lmer(mp ~ l + op + l*op+ us_lev + bw_lev +(1|tatu) ,
+ family = binomial(link="probit"),
+ method = 'Laplace',
+ data = matings,
+ msVerbose= True)
> summary(lmer1)
Generalized linear mixed model fit using Laplace
Formula: mp ~ l + op + l * op + us_lev + bw_lev + (1 | tatu)
Data: matings
Family: binomial(probit link)
AIC BIC logLik deviance
1455.121 1556.387 -706.5605 1413.121
Random effects:
Groups Name Variance Std.Dev.
tatu (Intercept) 0.42905 0.65502
# of obs: 918, groups: tatu, 130
Estimated scale (compare to 1) 0.8521378
I suppose that the dispersion parameter has been restricted to be 1.
Then the variance would be 1 + the variance of the random effect: 1+ 0.42905 ???
Thany you very much in advance
Per
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