Conclusions

mlogit estimates a large set of random utility models with a unified and user-friendly interface. Some of these models haven’t been presented in this article, namely:

All these models are illustrated in the "mlogit" vignette of the mlogit package.

Moreover, mlogit provides useful functions and methods which compute and return useful results, like predicted probabilities, inclusive values, marginal effects, consumer surplus and individual parameters.