PROC GLIMMIX capabilities implementation in the Generalized Regression personalityIt'd come really handy to have the ability to have mixed models (fixed+random effects) for responses that are not normally distributed. At first, it did not need to cover all distributions today available in the Generalized Regression personality. Having it initially for binomial responses would be a step change.
Statistics and AnalyticsRe: PROC GLIMMIX capabilities implementation in the Generalized Regression personalityI've noticed it in the JMP17 beta version, great.
Re: PROC GLIMMIX capabilities implementation in the Generalized Regression personality - Status changed to: Yes, Stay Tuned!@Peter_Hersh you are correct, we will have a new Generalized Linear Mixed Model personality available in JMP Pro 17.0, available in Fit Model, that can fit GLMMs for binomial and Poisson response distributions. If you are member of the JMP 17 Early Adopter Program you can try this and test it now.
Re: PROC GLIMMIX capabilities implementation in the Generalized Regression personality@SamGardner I know GLMM has been added to JMP 17 will this address what Fabio is after?
Re: PROC GLIMMIX capabilities implementation in the Generalized Regression personalityThat's a good suggestion. I've noted this in our internal request system. Others should indicate their support for this by clicking the kudos (thumbs up) button above.
