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>.
Tests Vignettes
Available Snapshots
This version of mlogit can be found in the following snapshots:
Dependencies
| Imports/Depends/LinkingTo/Enhances (7) |
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| Suggests (6) |
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