mixl: Simulated Maximum Likelihood Estimation of Mixed Logit Modelsfor 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. (2021) <https://www.research-collection.ethz.ch/handle/20.500.11850/477416>.
| Version: | 1.3.5 |
| Imports: | maxLik,numDeriv,randtoolbox,Rcpp (≥ 0.12.19),readr,sandwich, stats,stringr (≥ 1.3.1) |
| Suggests: | knitr,mlogit,rmarkdown,testthat,texreg,xtable |
| Published: | 2025-05-16 |
| DOI: | 10.32614/CRAN.package.mixl |
| Author: | Joseph Molloy [aut], Daniel Heimgartner [ctb, cre] |
| Maintainer: | Daniel Heimgartner <d.heimgartners at gmail.com> |
| BugReports: | https://github.com/joemolloy/fast-mixed-mnl/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/joemolloy/fast-mixed-mnl |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | Econometrics |
| CRAN checks: | mixl results |
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