momMix

probdraw

list of length R of draws of mixture component moments

compdraw

<code>momMix</code> averages the moments of a normal mixture model over MCMC draws.

multivariate

bayesm covers many important models used
  in marketing and micro-econometrics applications. 
  The package includes:
  Bayes Regression (univariate or multivariate dep var),
  Multinomial Logit (MNL) and Multinomial Probit (MNP),
  Multivariate Probit,
  Negative Binomial Regression,
  Multivariate Mixtures of Normals,
  Hierarchical Linear Models with normal prior and covariates,
  Hierarchical Multinomial Logits with mixture of normals prior
     and covariates,
  Hierarchical Negative Binomial Regression Models,
  Bayesian analysis of choice-based conjoint data,
  Bayesian treatment of linear instrumental variables models,
  and
  Analyis of Multivariate Ordinal survey data with scale
     usage heterogeneity (as in Rossi et al, JASA (01)).
  For further reference, consult our book, Bayesian Statistics and
  Marketing by Allenby, McCulloch and Rossi. 

Peter Rossi

bayesm

Bayesian Inference for Marketing/Micro-econometrics

momMix function

<ul><li>mcmc</li><li>normal mixture</li><li>posterior moments</li></ul>

concept

This routine is a utility routine that does <strong>not</strong> check the
  input arguments for proper dimensions and type.

momMix: Compute Posterior Expectation of Normal Mixture Model Moments

Description

Usage

Arguments

Value

concept

Warning

Details

References

See Also