On Oct 7, 2010, at 6:48 AM, abderrahim youssef wrote: > Dear all, > > I am looking for an R package that fits multivariate gaussian or > non-gaussian longitudinal outcomes. > I am especially interested to non-gaussian outcomes since the outcomes I've > got are discrete (some are binomial and some are count data). > Many thanks in advance, > Abderrahim
You will want to start by looking at the lme4 package for R, within which are the lmer() and glmer() functions to fit such models. More information here: http://cran.us.r-project.org/web/packages/lme4/index.html and: http://lme4.r-forge.r-project.org/ There is also a R-SIG-MIXED-MODELS e-mail list focused on this subject matter: https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models Finally, there is also a working draft FAQ, which I believe Ben Bolker is maintaining: http://glmm.wikidot.com/faq HTH, Marc Schwartz ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
