| Danny Modlin |
Many analysts are interested in taking models they currently have and transitioning them to the Bayesian realm. Most
leap from their favorite classical analysis procedure directly to PROC MCMC, the general-purpose Bayesian procedure.
This presentation will feature the BGLIMM procedure available since SAS/STAT 15.1. This will allow the participant to
model non-normal responses and include random effects within their Bayesian approach. Discussion will include options
of priors and availability of statements. Examples will include models originally written in PROCs REG, GLM,
GLMSELECT, GENMOD, MIXED, and GLIMMIX. |