MNP is a useful R program for modeling discrete choices, such as choosing among a finite number of alternatives. What makes this an interesting alternative to software such as Stata or Limdep is that model parameters are estimated via Bayesian MonteCarlo Markov Chain(MCMC) methods. Covariates are allowed and control over MCMC tuning is provided. Predictions under a model are available via the posterior predictive distribution.

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