Hello,

I'm very new at using MCMCglmm, so my apologies if my question is
rudimentary. I can't even create a sufficient toy example to assist my
explanation of what I'm trying to achieve. I've been working in lmer on this
for a little while, but since my end result is prediction for specific
levels of my random effects, L-serv consensus seems to be that I switch to
MCMCglmm.


I'm running prediction models on some gaussian (and separately binomial)
outcome where I have random intercepts and slopes - within factors.

random=~ us(1+slope1 + slope2):Factor1 + us(1+slope1):Factor 2 + Factor3

The short question is how do I create prediction intervals for specific
levels of Factors 1-3?







Robin Jeffries
MS, DrPH Candidate
Department of Biostatistics
UCLA
530-624-0428

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