[R-sig-ME] MCMCglmm: mix of good and bad eff.samp

rafter sass ferguson liberationecology at gmail.com
Thu Jun 18 23:48:56 CEST 2015


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 be grateful
for any guidance.

Working with 721 observations, I fit a 2-level model with three Gaussian
response variables and several fixed effects and interactions. The model
looks good as far as trace plots and gelman diagnostics go.

My concern is with the effective sample size. Eff.samp overall and for
trait:block are quite good (1200, and mostly ~1200 w/ one 920,
respectively). But for trait:ID and residuals (trait:units) eff.samp is
terrible - mostly in the 150-200 range.

I'll post more model details below, but here are my questions:
• Do I need to worry about the poor eff.samp scores if I'm only interested
in the fixed effects?
• If it is a problem, could it be fixed by increasing iterations by a ~10x?

Here is the model I fit -
prior2 <- list(R=list(V=diag(3),nu=3),
               G=list(G1=list(V=diag(3), nu=3.02, alpha.mu=rep(0,3),
alpha.V=1000*diag(3)),
                      G2=list(V=diag(3), nu=3.02, alpha.mu=rep(0,3),
alpha.V=1000*diag(3))
               ) )

m2b <- MCMCglmm(cbind(professional, relational, practice) ~
                 -1 + trait +
                 trait:income + trait:age + trait:ethnicity + trait:gender
+ trait:residence +                  trait:education + trait:HDI +
trait:Ineq + trait:Enviro + trait:Enviro:gender + trait:Ineq:gender +
trait:Ineq:ethnicity + trait:Ineq:income,
               random= ~us(trait):block + us(trait):ID, rcov=
~us(trait):units,
               family=rep("gaussian",3),
               prior=prior2,
               nitt <- 80000, thin <- 25, burnin <- 50000,
               data=df_sel,
               verbose=TRUE)

Here is the first part of the model summary:
 Iterations = 50001:79976
 Thinning interval  = 25
 Sample size  = 1200

If a full data set will help, let me know and I'll post one.

Thanks so much for any suggestions!

Warmly,
Rafter



Rafter Sass Ferguson, MS
PhD Candidate | Crop Sciences Department
University of Illinois in Urbana-Champaign
liberationecology.org
518 567 7407

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