mlogit-package {mlogit} | R Documentation |
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. doi:10.1017/CBO9780511805271.
Author(s)
Maintainer: Yves Croissant yves.croissant@univ-reunion.fr
See Also
Useful links:
[Package mlogit version 1.1-3 Index]