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mixl: Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets (original) (raw)

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 ORCID iD [aut], Daniel HeimgartnerORCID iD [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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