Bayes Estimation of Latent Class Mixed Multinomial Probit Models

Fitting latent class mixed multinomial probit (LCMMNP) models to simulated or empirical data. Estimation takes place in a Bayesian framework using a Gibbs sampler. The number of latent classes can be updated within the algorithm on a weight-based strategy. For a reference on the method see Oelschl\"ager and Bauer (2021) <>.


Reference manual

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0.1.1 by Lennart Oelschläger, a month ago

Browse source code at

Authors: Lennart Oelschläger [aut, cre] , Dietmar Bauer [aut] , Sebastian Büscher [ctb] , Manuel Batram [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, mvtnorm, viridis

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

See at CRAN