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I've been searching for ways to calculate some R^2-like statistics for a multi-level multi-response model fit with MCMCglmm (with 3 Gaussian responses). I can see from the Course Notes and elsewhere that it's very...

For any who comes looking: I asked this same question on researchgate here: https://www.researchgate.net/post/How_can_I_calculate_R2_for_an_Bayesian_MCMC_multilevel_model Happily, it was answered by Shinichi Nakagawa himself (author of the...

MCMCglmm appears to consistently ignore set contrasts and revert to default contrasts when fitting a multivariate model (and not when fitting a univariate model). Reproducible example: ### recreating the data from the Course Notes multi-response vignette require(MCMCglmm) set.seed...

Hello, I have a question about a mix of good and bad effective sample sizes. I've read Jarrod's tutorial, course notes, and paper, and googled around extensively, and haven't had any luck figuring this out. I'd...

Dear MCMCglmm'ers, I'm attempting to model several related social behaviors (in humans) using individual- and group-level predictor variables. I'll describe the situation and then supply code and data following. The grouping variable is very unbalanced. The...

In case any other newbie finds this thread in their searching: Someone emailed me off-list and suggested going ahead and progressively ramping up the iterations, and increasing the thin rate and burnin as well. It worked great. All the...

Thanks so much for your response. That is encouraging, and very helpful. It's nice every once in a while to find out things are simpler than you imagined. Two quick notes for anyone who finds this discussion while googling...

Dear list, I am hoping to generate predictions (with CIs) based on new data for a model with 3 Gaussian response variables and 1 blocking variable. A very similar and recent question hasn't received a substantive reply yet, here...