mlogit-package

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

Yves Croissant

mlogit

Multinomial Logit Models

mlogit-package function

Maintainer: Yves Croissant <a href="/link/yves.croissant%40univ-reunion.fr?package=mlogit&version=1.1-2" data-mini-rdoc="mlogit::yves.croissant@univ-reunion.fr">yves.croissant@univ-reunion.fr</a>

Author

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

Maintainer: Yves Croissant <a href='mailto:yves.croissant@univ-reunion.fr'>yves.croissant@univ-reunion.fr</a>

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

Description

Arguments

Author

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