Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets

Specification and estimation of multinomial logit models. Large datasets and complex models are supported, with an intuitive syntax. Multinomial Logit Models, Mixed models, random coefficients and Hybrid Choice are all supported. For more information, see Molloy et al. (2019) .


Reference manual

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1.1 by Joseph Molloy, 3 months ago

Browse source code at

Authors: Joseph Molloy [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, readr, stringr, maxLik, numDeriv, Rcpp, randtoolbox, sandwich

Suggests testthat, knitr, rmarkdown, mlogit, xtable, texreg

See at CRAN