-1
votes
1answer
136 views

An incremental Gaussian mixture model

Question 1: Suppose that data is modelled by a mixture of K probability distributions which are actually Gaussians. $P(x_i|\theta_j)$ is the probability density of the j'th cluster, for which the ...
15
votes
2answers
431 views

How can I pool posterior means and credible intervals after multiple imputation?

I have used multiple imputation to obtain a number of completed datasets. I have used Bayesian methods on each of the completed datasets to obtain posterior distributions for a parameter (a random ...
5
votes
2answers
1k views

What are R-structure G-structure in a glmm?

I've been using the MCMCglmm package recently. I am confused by what is referred to in the documentation as R-structure and G-structure. These seem to relate to the ...
6
votes
1answer
281 views

Posterior simulations of the variances with the mcmcsamp function

I would like to get the posterior simulations of the variance components of a lmer() model with the mcmcsamp() function. How to do ? For instance, below is the result of a lmer() fitting : ...
6
votes
0answers
178 views

Residual diagnostics in MCMC -based regression models

I've recently embarked on fitting regression mixed models in the Bayesian framework, using a MCMC algorithm (function MCMCglmm in R actually). I believe I have understood how to diagnose convergence ...
2
votes
1answer
259 views

Bayesian mixed model regression with a between subjects factor

I'm trying to specify a model in JAGS/rjags with one between subjects factor (a, with two levels - Y, N) interacting with one repeated measures continuous variable x plus subject varying slopes and ...
2
votes
1answer
519 views

Finding a prediction interval for an lmer model via mcmcsamp versus simulate

I've created a model with lme4's lmer and wanted to create a prediction interval around my model fit. I figured I could do it ...
4
votes
1answer
159 views

How to replicate large well powered mixed effects model with a smaller sample?

Some edits made... I have a dataset which other researchers have used mixed effects modelling with to come up with a nice set of associations. I also have a much smaller dataset which is the same ...