mlogit-package {mlogit}

mlogit package: estimation of random utility discrete choice models by maximum likelihood

Description

mlogit provides a model description interface (enhanced formula-data), a very versatile estimation function and a testing infrastructure to deal with random utility models.

Details

For a gentle and comprehensive introduction to the package, see the package's vignettes.

Croissant Y (2020). “Estimation of Random Utility Models in R: The mlogit Package".” Journal of Statistical Software, 95(11), 1–41. doi: 10.18637/jss.v095.i11.

Train K (2009). Discrete Choice Methods with Simulation. Cambridge University Press. https://EconPapers.repec.org/RePEc:cup:cbooks:9780521766555.