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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mixl to link to this page.
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