Hi everybody, Trying to test for the effect of fixed factors in a generalized linear mixed model, I face the problem of mcmc not yet implemented with such models. I would like to know if there is any equivalent procedure to that applied on lme ( "lmer" followed with "mcmc sampling" and "aovlmer.fnc") ? Thanks in advance for answers Agn?s -- Marie-Agn?s Coutellec UMR INRA-Agrocampus Ouest 985 ESE Equipe Ecotoxicologie et Qualit? des Milieux Aquatiques 65 rue de Saint-Brieuc - CS 84215 35042 Rennes cedex - FRANCE t?l.: +33(0)2 23 48 52 48 fax: +33(0)2 23 48 54 40
Marie-Agnes <marie-agnes.coutellec <at> rennes.inra.fr> writes:> Trying to test for the effect of fixed factors in a generalized linear > mixed model, I face the problem of mcmc not yet implemented with such > models. > I would like to know if there is any equivalent procedure to that > applied on lme ( "lmer" followed with "mcmc sampling" and "aovlmer.fnc") ? >1. Suggest you try forwarding this to r-sig-mixed-models at r-project.org (special interest list for mixed models). 2. Can you use MCMCglmm (in its own package, MCMCglmm) instead of glmer (lme4 package)?