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mlogit (version 1.0-2)

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

20,643

Version

1.0-2

License

GPL (>= 2)

Homepage

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

Maintainer

Yves Croissant

Last Published

December 9th, 2019

Functions in mlogit (1.0-2)

vcov method for mlogit objects

Correlation structure of the random parameters

Choice of Fishing Mode

Ranked data for gaming platforms

Functions used to describe the characteristics of estimated random parameters

Risky Transportation Choices

Heating System Choice in California Houses

Japanese Foreign Direct Investment in European Regions

data.frame for logit model

Multinomial logit model

Marginal effects of the covariates

Choice of Brand for Crakers

Stated preference data for the choice of electricity suppliers

Compute the log-sum or inclusive value/utility

Model formula for logit models

Stated Preferences for Train Traveling

Non-linear minimization routine

The three tests for mlogit models

random parameter objects

miscmethods.mlogit

Methods for mlogit objects

Plot of the distribution of estimated random parameters

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

Hausman-McFadden Test

Heating and Cooling System Choice in Newly Built Houses in California

Choice of Brand for Catsup

Stated Preferences for Car Choice

Mode Choice for the Montreal-Toronto Corridor

Technologies to reduce NOx emissions