[R-sig-ME] Running multinomial models with random effects

[florian.wickelmaier at uni-tuebingen.de]

Alternatively, you could fit a "tree-based" mixed logit model
based on continuation ratio logits. See a recent JSS paper by De
Boeck and Partchev (2012, http://www.jstatsoft.org/v48/c01/).

The idea is to convert the three-level response into a binary one
using a decision tree. In one possible tree, the first node is
indifferent w.r.t. size (response both) vs. picky (response small
or big). The second node is small given picky vs. big given
picky.

You need to extend your data by a two-level node variable. The
new response is then binary. The model can be fit using glmer().

Best, Florian

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Florian Wickelmaier
Department of Psychology
University of Tuebingen
Schleichstr. 4, 72076 Tuebingen, Germany