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) .


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1.3.3 by Joseph Molloy, a month ago

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Authors: Joseph Molloy [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

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

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

See at CRAN