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: |
1.1-1 |
| Depends: |
R (≥ 2.10), dfidx |
| Imports: |
Formula, zoo, lmtest, statmod, MASS, Rdpack |
| Suggests: |
knitr, car, nnet, lattice, AER, ggplot2, texreg, rmarkdown |
| Published: |
2020-10-02 |
| DOI: |
10.32614/CRAN.package.mlogit |
| 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,
https://r-forge.r-project.org/projects/mlogit/ |
| NeedsCompilation: |
no |
| Citation: |
mlogit citation info |
| Materials: |
NEWS |
| In views: |
Econometrics |
| CRAN checks: |
mlogit results |