mixl: 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. (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 |
Documentation:
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