Generalized Linear Mixed Models were introduced in JMP Pro 17, where you specify two distributions - Binomial and Poisson.
GLMM combines two approaches: the linear mixed model and generalized linear model frameworks . GLMM is useful for three types of model structures:
- Randomized complete and incomplete block designs
- Split-plot experiments
- Random coefficient models
Questions answered by Jian Cao @jiancao and Byron Wingerd @Byron_JMP during the live webinar demo:
Q: How do you assess performance of GLMM?
A: Here are the full details.
Resources
