This class stores the point estimators for component parameters and weights as well as corresponding information from MCMC sampling. Three point estimators are calculated: the maximum a posterior (MAP), the Bayesian maximum likelihood (BML) and the Identified ergodic average (IEAVG). See Fr\"uhwirth-Schnatter (2006) for detailed information about how these estimators are defined.
Note that this class inherits almost all of its slots from the mcmcestfix
class, the corresponding class for fixed indicators.
eavg
A named list containing the estimates of the ergodic average. The
element par
is a list and contains the component parameter estimates and
weight
contains the weight estimates. The difference between the EAVG
and the IEAVG is that the IEAVG is based on re-labeled samples.
mcmcestfix for the parent class with fixed indicators
mcmcestimate()
to calculate point estimates
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.