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mlogit (version 1.1-1)

Multinomial Logit Models

Description

Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) and the underlying methods in Train (2009) .

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Version

Install

install.packages('mlogit')

Monthly Downloads

14,460

Version

1.1-1

License

GPL (>= 2)

Homepage

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

Maintainer

Yves Croissant

Last Published

October 2nd, 2020

Functions in mlogit (1.1-1)

Choice of Fishing Mode

Choice of Brand for Catsup

Stated preference data for the choice of electricity suppliers

Choice of Brand for Crakers

Heating and Cooling System Choice in Newly Built Houses in California

Stated Preferences for Car Choice

Ranked data for gaming platforms

Japanese Foreign Direct Investment in European Regions

Marginal effects of the covariates

Heating System Choice in California Houses

Correlation structure of the random parameters

Functions used to describe the characteristics of estimated random parameters

Mode Choice for the Montreal-Toronto Corridor

vcov method for mlogit objects

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

Compute the log-sum or inclusive value/utility

Technologies to reduce NOx emissions

Hausman-McFadden Test

miscmethods.mlogit

Methods for mlogit objects

Multinomial logit model

Risky Transportation Choices

Stated Preferences for Train Traveling

mlogit-deprecated

Some deprecated functions, especially mlogit.data, index and mFormula

random parameter objects

The three tests for mlogit models

Plot of the distribution of estimated random parameters

Objects exported from other packages

Indicates whether the formula contains an intercept

model.matrix.dfidx_mlogit

Compute the model matrix for RUM

Non-linear minimization routine