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mlogit: Multinomial Logit Models
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>.
Getting started
Package overview
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. Multinomial probit
7. Miscellaneous models
Exercise 1: Multinomial logit model
Exercise 2: Nested logit model
Exercise 3: Mixed logit model
Exercise 4: Multinomial probit
mlogit
Browse package contents
Package details |
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| Author | Yves Croissant [aut, cre] |
| Maintainer | Yves Croissant <yves.croissant@univ-reunion.fr> |
| License | GPL (>= 2) |
| Version | 1.1-1 |
| URL | https://cran.r-project.org/package=mlogit https://r-forge.r-project.org/projects/mlogit/ |
| Package repository | View on CRAN |
| Installation |
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