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.
- Version1.1-1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- mlogit citation info
- Last release10/02/2020
Documentation
- Vignette2. Data management, model description and testing
- Vignette3. Random utility model and the multinomial logit model
- Vignette4. Logit models relaxing the iid hypothesis
- Vignette5. The random parameters (or mixed) logit model
- Vignette6. The multinomial probit model
- Vignette7. Miscellaneous models
- VignetteExercise 1: Multinomial logit model
- VignetteExercise 2: Nested logit model
- VignetteExercise 3: Mixed logit model
- VignetteExercise 4: Multinomial probit
- Vignettemlogit
- MaterialNEWS
- In ViewsEconometrics
Team
Yves Croissant
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- Depends1 package
- Imports6 packages
- Suggests8 packages
- Reverse Depends2 packages
- Reverse Imports9 packages
- Reverse Suggests16 packages
- Reverse Enhances3 packages