Hi all,

 I have sent a similar post lately but this one is updated.
I would like to obtain the Confidence Interval of random effect * variances*
(intercept and slope) in a lmer model . Here is the model to make this
clear:
fit<-lmer(logitprop_vig~logdensity+logbiomasstrue+loggpsize+position+(1+logdensity|Idtag),na.action=na.omit,
data=tabimpala)
I am interested in the following output
Random effects:
 Groups   Name        Variance Std.Dev. Corr
 Idtag    (Intercept)  0.000000 0.00000
             logdensity  0.050391 0.22448    NaN
 Residual             1.552516 1.24600
Number of obs: 283, groups: Idtag, 15

 I need to obtain the CI of the variance of the intercept and slope of the
variable "logdensity".

I have tried different packages and functions but it is failing to work.
The one I believe that could work is the profile () function from the lm4a
package but I did not manage to get this latter in R. If someone knows how
to make this work , I would be glad to hear it!


I believe this is very important in different field to obtain those values
as it would allow to knwo the magnitude of the variabilty estimates and
their uncertainty.

 Any help would be very appreciated.

 Thank you





-- 
Tommy Gaillard
Intern student CNRS
BUrgundy University (France)
Master 2 Research
Tel: 06-71-81-94-66
Email: tommy.gaillard40@gmail.com

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