mlogit
Multinomial Logit Models
Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2009) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>.
Tests Vignettes
Available Snapshots
This version of mlogit can be found in the following snapshots:
Dependencies
| Imports/Depends/LinkingTo/Enhances (7) |
|---|
| Suggests (6) |
|---|