A production version of the new GLIMMIX procedure is now available. PROC GLIMMIX, which fits generalized linear mixed models, was first made available as an experimental procedure for Windows only. The production version is now available, by download only, for Windows and several UNIX platforms (AIX 64-bit, HP/UX 64-bit, Solaris 64-bit, and Linux). It works with the SAS 9.1.3 release.
PROC GLIMMIX fits statistical models to data with correlations or nonconstant variability and where the response is not necessarily normally distributed. These generalized linear mixed models (GLMM), like linear mixed models, assume normal (Gaussian) random effects. Conditional on these random effects, data can have any distribution in the exponential family. The binary, binomial, Poisson, and negative binomial distributions, for example, are discrete members of this family. The normal, beta, gamma, and chi-square distributions are representatives of the continuous distributions in this family.
Some PROC GLIMMIX features are:
Besides including performance enhancements and various fixes, the production release of the GLIMMIX procedure provides numerous additional features. These include:
The documentation has been updated to reflect these new features.