[R-sig-ME] lmer with binomial distribution of random effects
Ben Bolker
bbolker at gmail.com
Mon Mar 9 02:15:42 CET 2015
El Kihal, Siham <Siham.ElKihal at ...> writes:
>
> Dear lmer() friends,
>
> I am trying to estimate a model with a random
> intercept, and 2 random slopes.
> I believe that my betas (slopes) do not follow
>a normal distribution, but rather a bimodal distribution.
> The reason for this that there are two possible
> mechanisms that influence the evolution of this variable,
> one with a negative influence and another one with a
> positive influence. This is why I need to use a bimodal
> distribution for my slopes to avoid the fact that
> both effects right now cancel out.
>
> Does anyone of you has already done this or has
> an idea how to concretely implement this using lmer()?
This sounds like a latent mixture model problem. lme4 doesn't
do this; you *might* be able to implement an expectation-maximization
wrapper around lme4 that would do it, but it wouldn't be entirely
trivial. If I had to do this I would probably turn to JAGS/BUGS.
Looking forward to other answers from the list ...
More information about the R-sig-mixed-models
mailing list