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mlogit (version 0.3-0)

Multinomial Logit Models

Description

Maximum Likelihood estimation of random utility discrete choice models (logit and probit).

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Version

Install

install.packages('mlogit')

Monthly Downloads

9,403

Version

0.3-0

License

GPL (>= 2)

Maintainer

Last Published

April 20th, 2018

Functions in mlogit (0.3-0)

TollRoad

Stated Preferences survey for a toll road
Train

Stated Preferences for Train Traveling
Tuna

Choice of Brand for Tuna
mlogit

Multinomial logit model
logsum

Compute the log-sum or inclusive value/utility
mFormula

Model formula for logit models
Yogurt

Choice of Brand for Yogurts
mlogit.data

data.frame for logit model
distribution

Functions used to describe the characteristics of estimated random parameters
effects.mlogit

Marginal effects of the covariates
correlation

Correlation structure of the random parameters
rpar

random parameter objects
scoretest

The three tests for mlogit models
vcov.mlogit

vcov method for mlogit objects
hmftest

Hausman-McFadden Test
mlogit.optim

Non-linear minimization routine
plot.mlogit

Plot of the distribution of estimated random parameters
Car

Stated Preferences for Car Choice
Catsup

Choice of Brand for Catsup
Game

Ranked data for gaming platforms
Examples

Examples of mixed logit and multinomial probit models
Beef

Choice of a beef product
Heating

Heating System Choice in California Houses
Fishing

Choice of Fishing Mode
Electricity

Stated preference data for the choice of electricity suppliers
Cracker

Choice of Brand for Crakers
HC

Heating and Cooling System Choice in Newly Built Houses in California
Ketchup

Choice of Brand for Ketchup
JapaneseFDI

Japanese Foreign Direct Investment in European Regions
RiskyTransport

Risky Transportation Choices
Telephone

Choice among residential telephone service options for local calling
NOx

Technologies to reduce NOx emissions
ModeCanada

Mode Choice for the Montreal-Toronto Corridor
MobilePhones

Stated Preferences survey for mobile phones
Mode

Mode Choice