Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.
Version: 1.1-3 Depends: R (≥ 2.10), dfidx Imports: Formula, zoo, lmtest, statmod, MASS, Rdpack Suggests: knitr, car, nnet, lattice, AER, ggplot2, texreg, rmarkdown Published: 2025-07-12 Author: Yves Croissant [aut, cre] Maintainer: Yves Croissant <yves.croissant at univ-reunion.fr> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://cran.r-project.org/package=mlogit NeedsCompilation: no Citation: mlogit citation info Materials: NEWS In views: Econometrics CRAN checks: mlogit results [issues need fixing before 2025-07-24] Documentation: Reference manual: mlogit.pdf Vignettes: 2. Data management, model description and testing (source, R code)Please use the canonical form https://CRAN.R-project.org/package=mlogit to link to this page.
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