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mlogit (version 1.1-0)

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

1.1-0

License

GPL (>= 2)

Homepage

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

Maintainer

Yves Croissant

Last Published

May 26th, 2020

Functions in mlogit (1.1-0)

Mode Choice for the Montreal-Toronto Corridor

Correlation structure of the random parameters

Functions used to describe the characteristics of estimated random parameters

Risky Transportation Choices

Marginal effects of the covariates

Plot of the distribution of estimated random parameters

Objects exported from other packages

Hausman-McFadden Test

Indicates whether the formula contains an intercept

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

The three tests for mlogit models

Ranked data for gaming platforms

vcov method for mlogit objects

random parameter objects

Non-linear minimization routine

miscmethods.mlogit

Methods for mlogit objects

model.matrix.dfidx_mlogit

Compute the model matrix for RUM

Stated Preferences for Train Traveling

Compute the log-sum or inclusive value/utility

Technologies to reduce NOx emissions

Multinomial logit model

mlogit-deprecated

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

Choice of Fishing Mode

Japanese Foreign Direct Investment in European Regions

Stated Preferences for Car Choice

Choice of Brand for Catsup

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

Heating System Choice in California Houses