## mlogit: Multinomial Logit Models

Maximum Likelihood estimation of random utility discrete choice models (logit and probit).

 Version: 0.4-1 Depends: R (≥ 2.10), Formula, zoo, lmtest Imports: statmod, MASS, Rdpack Suggests: knitr, car, nnet, lattice, AER, ggplot2, texreg, rmarkdown Published: 2019-02-01 Author: Yves Croissant [aut, cre] Maintainer: Yves Croissant 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 7. Conclusions 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_0.4-1.tar.gz Windows binaries: r-devel: mlogit_0.4-1.zip, r-release: mlogit_0.4-1.zip, r-oldrel: mlogit_0.4-1.zip OS X binaries: r-release: mlogit_0.4-1.tgz, r-oldrel: mlogit_0.4-1.tgz Old sources: mlogit archive

#### Reverse dependencies:

 Reverse depends: covLCA, mpbart, nopp Reverse imports: clusterSEs, Demerelate, gmnl, idefix, misclassGLM, riskclustr Reverse suggests: AER, catdata, catspec, cobalt, generalhoslem, insight, McSpatial, mlogitBMA, nonnest2, plot3logit, urbin, WeightIt Reverse enhances: prediction, stargazer, texreg