Generic function for pooling parameter estimates from Bayesian mixture
models using posterior draws of the latent component indicators.
Arguments
- object
A fitted Bayesian mixture model object.
- ...
Additional arguments passed to methods.
Value
A pooled model object combining parameter estimates across
posterior component-indicator draws.
Examples
# \donttest{
# mi_with() is a generic function for posterior allocation–based pooling.
# See ?mi_with.glmMixBayes for a complete example illustrating its use
# with Bayesian GLM mixture models.
# }