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mlogit (version 1.1-2)
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
13,257
Version
1.1-2
License
GPL (>= 2)
Maintainer
Yves Croissant
Last Published
April 28th, 2025
Functions in mlogit (1.1-2)
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rpar
random parameter objects
NOx
Technologies to reduce NOx emissions
mlogit-package
mlogit package: estimation of random utility discrete choice models by maximum likelihood
mlogit-deprecated
Some deprecated functions, especially `mlogit.data`, `index` and `mFormula`
miscmethods.mlogit
Methods for mlogit objects
mlogit
Multinomial logit model
scoretest
The three tests for mlogit models
vcov.mlogit
vcov method for mlogit objects
plot.mlogit
Plot of the distribution of estimated random parameters
reexports
Objects exported from other packages
model.matrix.dfidx_mlogit
Compute the model matrix for RUM
mlogit.optim
Non-linear minimization routine
Cracker
Choice of Brand for Crakers
Catsup
Choice of Brand for Catsup
Mode
Mode Choice
Fishing
Choice of Fishing Mode
Heating
Heating System Choice in California Houses
Electricity
Stated preference data for the choice of electricity suppliers
has.intercept
Indicates whether the formula contains an intercept
HC
Heating and Cooling System Choice in Newly Built Houses in California
JapaneseFDI
Japanese Foreign Direct Investment in European Regions
Car
Stated Preferences for Car Choice
effects.mlogit
Marginal effects of the covariates
RiskyTransport
Risky Transportation Choices
hmftest
Hausman-McFadden Test
ModeCanada
Mode Choice for the Montreal-Toronto Corridor
Train
Stated Preferences for Train Traveling
Game
Ranked data for gaming platforms
logsum
Compute the log-sum or inclusive value/utility
cor.mlogit
Correlation structure of the random parameters
distribution
Functions used to describe the characteristics of estimated random parameters