Hi! Can anyone point me to the documentation, where I could read about which priors are used in the mcmcsamp() for mixed linear model. I only found the mail from Douglas, where he says that an improper uniform prior is used on log of variance or standard deviation, but he does not mention if this is for the residual or also for other random effects in the model. http://thread.gmane.org/gmane.comp.lang.r.lme4.devel/372 Say we have a model y|b,u,\sigma^2_e ~ Normal(Xb + Zu, I\sigma^2_e) u|\sigma^2_u ~ Normal(0, I\sigma^2_u) I would like to know the priors for b ~ ??? \sigma^2_e ~ ??? \sigma^2_u ~ ??? Thank you! Lep pozdrav / With regards, Gregor Gorjanc ---------------------------------------------------------------------- University of Ljubljana PhD student Biotechnical Faculty www: http://gregor.gorjanc.googlepages.com Animal Science Department blog: http://ggorjan.blogspot.com Groblje 3 mail: gregor.gorjanc <at> bfro.uni-lj.si SI-1230 Domzale fax: +386 (0)1 72 17 888 Slovenia, Europe tel: +386 (0)1 72 17 861
Priors in mcmcsamp for mixed linear model
1 message · Gorjanc Gregor