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mlogit (version 1.0-1)

Multinomial Logit Models

Description

Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2009) Discrete Choice Methods with Simulations .

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Version

Install

install.packages('mlogit')

Monthly Downloads

14,460

Version

1.0-1

License

GPL (>= 2)

Homepage

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

Maintainer

Yves Croissant

Last Published

July 22nd, 2019

Functions in mlogit (1.0-1)

Correlation structure of the random parameters

Multinomial logit model

Marginal effects of the covariates

data.frame for logit model

Hausman-McFadden Test

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

miscmethods.mlogit

Methods for mlogit objects

Functions used to describe the characteristics of estimated random parameters

Mode Choice for the Montreal-Toronto Corridor

Technologies to reduce NOx emissions

Non-linear minimization routine

Stated Preferences for Train Traveling

Risky Transportation Choices

Plot of the distribution of estimated random parameters

Model formula for logit models

Compute the log-sum or inclusive value/utility

vcov method for mlogit objects

The three tests for mlogit models

random parameter objects

Choice of Fishing Mode

Choice of Brand for Crakers

Stated preference data for the choice of electricity suppliers

Heating and Cooling System Choice in Newly Built Houses in California

Ranked data for gaming platforms

Heating System Choice in California Houses

Choice of Brand for Catsup

Stated Preferences for Car Choice

Japanese Foreign Direct Investment in European Regions