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mlogit (version 0.4-2)

Multinomial Logit Models

Description

Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2012) Discrete Choice Methods with Simulations .

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Version

Install

install.packages('mlogit')

Monthly Downloads

20,643

Version

0.4-2

License

GPL (>= 2)

Homepage

https://cran.r-project.org/package=mlogit

Maintainer

Yves Croissant

Last Published

June 3rd, 2019

Functions in mlogit (0.4-2)

Choice of Fishing Mode

Japanese Foreign Direct Investment in European Regions

Stated preference data for the choice of electricity suppliers

Stated Preferences for Car Choice

Heating System Choice in California Houses

Ranked data for gaming platforms

Heating and Cooling System Choice in Newly Built Houses in California

Choice of Brand for Crakers

Choice of Brand for Catsup

Compute the log-sum or inclusive value/utility

Mode Choice for the Montreal-Toronto Corridor

Technologies to reduce NOx emissions

Risky Transportation Choices

Stated Preferences for Train Traveling

Model formula for logit models

vcov method for mlogit objects

Multinomial logit model

Marginal effects of the covariates

data.frame for logit model

Hausman-McFadden Test

Functions used to describe the characteristics of estimated random parameters

The three tests for mlogit models

Correlation structure of the random parameters

random parameter objects

Non-linear minimization routine

Plot of the distribution of estimated random parameters

miscmethods.mlogit

Methods for mlogit objects

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