Hi all,

I am aiming to measure repeatability estimates associated with its Interval
of Confidence.
 Here is the structure of one of my model:
model=lmer(logit(y)~log(x)+(1+log(x)|Id))

The paper of Nakagawa and Schielzeth (2010) reviewed different methods to
calculate repeatability.
 However, here are the 2 main problems I am confronted with:
1) I can not have acces of the rptr package they suggest whether on R or on
google (links are failing). There is also the ICC package but apparently it
can only work for gaussian data.
2) As the response variable was logit transformed in my model and that the
explanatory variable was log transformed, what would be the best option to
avoid any biases for measuring the repeatability?
One option suggested  by Nakagawa is to use glmm but since I have used lme
and lmer for all my previous analyses, I would rather using the same type
of model.

Any help would be appreciated!

 Tommy





-- 
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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