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) < https://trid.trb.org/view/1759753>.


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install.packages("RprobitB")

0.1.1 by Lennart Oelschläger, 4 months ago


Browse source code at https://github.com/cran/RprobitB


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