Hi,

I am analysing an experiment that has one fixed (6 conditions) and two
random factors (11 subjects, 24 images in the conditions). I read somewhere
else that you can also see such a design as a nested experiment with the
hierarchy: subjects -> condition -> image. For some analysis I have one
respond variable and for others I have more. The response variables are
non-normally distributed. Now the question:

Is there a package that can deal with such a design? I would like to use a
generalized linear model. Are there glms that are extended to do
multivariate analysis (for the 2 random + 1 fixed variable design)? And how
do you call such a design?

Last question: Can you suggest me some literature about such a problem? I am
quite unsure concerning the analysis.

Thanks for any advice
lisra

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