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mlogit (version 1.1-3)
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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Install
install.packages('mlogit')
Monthly Downloads
15,482
Version
1.1-3
License
GPL (>= 2)
Maintainer
Yves Croissant
Last Published
July 12th, 2025
Functions in mlogit (1.1-3)
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cor.mlogit
Correlation structure of the random parameters
rpar
random parameter objects
mlogit
Multinomial logit model
scoretest
The three tests for mlogit models
miscmethods.mlogit
Methods for mlogit objects
mlogit-deprecated
Some deprecated functions, especially `mlogit.data`, `index` and `mFormula`
vcov.mlogit
vcov method for mlogit objects
distribution
Functions used to describe the characteristics of estimated random parameters
model.matrix.dfidx_mlogit
Compute the model matrix for RUM
mlogit.optim
Non-linear minimization routine
has.intercept
Indicates whether the formula contains an intercept
effects.mlogit
Marginal effects of the covariates
Fishing
Choice of Fishing Mode
reexports
Objects exported from other packages
hmftest
Hausman-McFadden Test
plot.mlogit
Plot of the distribution of estimated random parameters
logsum
Compute the log-sum or inclusive value/utility
Cracker
Choice of Brand for Crakers
RiskyTransport
Risky Transportation Choices
Heating
Heating System Choice in California Houses
ModeCanada
Mode Choice for the Montreal-Toronto Corridor
Car
Stated Preferences for Car Choice
JapaneseFDI
Japanese Foreign Direct Investment in European Regions
HC
Heating and Cooling System Choice in Newly Built Houses in California
Catsup
Choice of Brand for Catsup
Mode
Mode Choice
Electricity
Stated preference data for the choice of electricity suppliers
Game
Ranked data for gaming platforms
Train
Stated Preferences for Train Traveling
mlogit-package
mlogit package: estimation of random utility discrete choice models by maximum likelihood
NOx
Technologies to reduce NOx emissions