Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2009) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>.
| Version: | 1.1-0 |
| Depends: | R (≥ 2.10), dfidx |
| Imports: | Formula, zoo, lmtest, statmod, MASS, Rdpack |
| Suggests: | knitr, car, nnet, lattice, AER, ggplot2, texreg, rmarkdown |
| Published: | 2020-05-26 |
| 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 |
| Materials: | NEWS |
| In views: | Econometrics, SocialSciences |
| CRAN checks: | mlogit results |
| Reference manual: | mlogit.pdf |
| Vignettes: |
2. Data management, model description and testing 3. Random utility model and the multinomial logit model 4. Logit models relaxing the iid hypothesis 5. The random parameters (or mixed) logit model 6. The multinomial probit model 7. Miscellaneous models Exercise 1: The multinomial logit model Exercise 2: The nested logit model Exercise 3: The mixed effects logit model Exercise 4: The multinomial probit model mlogit |
| Package source: | mlogit_1.1-0.tar.gz |
| Windows binaries: | r-devel: mlogit_1.1-0.zip, r-release: mlogit_1.1-0.zip, r-oldrel: mlogit_1.1-0.zip |
| macOS binaries: | r-release: mlogit_1.1-0.tgz, r-oldrel: mlogit_1.1-0.tgz |
| Old sources: | mlogit archive |
| Reverse depends: | covLCA, mpbart, nopp, PHInfiniteEstimates |
| Reverse imports: | clusterSEs, Demerelate, gmnl, idefix, misclassGLM, mnlogit, riskclustr |
| Reverse suggests: | AER, catdata, catspec, cobalt, dfidx, generalhoslem, insight, McSpatial, mixl, mlogitBMA, nonnest2, performance, plot3logit, WeightIt |
| Reverse enhances: | prediction, stargazer, texreg |
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