Package: mlogit 1.0-3

Yves Croissant

mlogit: Multinomial Logit Models

Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2009) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>.

Authors:Yves Croissant [aut, cre]

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NEWS

# Install 'mlogit' in R:
install.packages('mlogit', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/mlogit

Datasets:
  • Car - Stated Preferences for Car Choice
  • Catsup - Choice of Brand for Catsup
  • Cracker - Choice of Brand for Crakers
  • Electricity - Stated preference data for the choice of electricity suppliers
  • Fishing - Choice of Fishing Mode
  • Game - Ranked data for gaming platforms
  • Game2 - Ranked data for gaming platforms
  • HC - Heating and Cooling System Choice in Newly Built Houses in California
  • Heating - Heating System Choice in California Houses
  • JapaneseFDI - Japanese Foreign Direct Investment in European Regions
  • Mode - Mode Choice
  • ModeCanada - Mode Choice for the Montreal-Toronto Corridor
  • NOx - Technologies to reduce NOx emissions
  • RiskyTransport - Risky Transportation Choices
  • Train - Stated Preferences for Train Traveling

On CRAN:

9.78 score 14 packages 1.2k scripts 11k downloads 40 mentions 18 exports 8 dependencies

Last updated 5 years agofrom:f1afb1c851. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-winERRORDec 22 2024
R-4.5-linuxERRORDec 22 2024
R-4.4-winERRORDec 22 2024
R-4.4-macERRORDec 22 2024
R-4.3-winERRORDec 22 2024
R-4.3-macERRORDec 22 2024

Exports:cor.mlogitcov.mlogitdrparhmftestis.mFormulalogsummedmFormulamlogitmlogit.datamlogit.optimmodel.response.mlogitprparqrparrgrparscoreteststdev

Dependencies:FormulalatticelmtestMASSrbibutilsRdpackstatmodzoo

Data management, model description and testing

Rendered fromc2.formula.data.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-07-02
Started: 2019-01-29

Random utility model and the multinomial logit model

Rendered fromc3.rum.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-06-03
Started: 2019-01-29

Logit models relaxing the iid hypothesis

Rendered fromc4.relaxiid.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-07-20
Started: 2019-01-29

The random parameters (or mixed) logit model

Rendered fromc5.mxl.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-07-20
Started: 2019-01-29

Multinomial probit

Rendered fromc6.mprobit.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-07-20
Started: 2019-01-29

Miscellaneous models

Rendered fromc7.miscmodels.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-07-20
Started: 2019-01-29

Exercise 1: Multinomial logit model

Kenneth Train and Yves Croissant

Rendered frome1mlogit.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-01-29
Started: 2019-01-29

Exercise 2: Nested logit model

Kenneth Train and Yves Croissant

Rendered frome2nlogit.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-01-29
Started: 2019-01-29

Exercise 3: Mixed logit model

Kenneth Train and Yves Croissant

Rendered frome3mxlogit.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-01-29
Started: 2019-01-29

Exercise 4: Multinomial probit

Kenneth Train and Yves Croissant

Rendered frome4mprobit.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-01-29
Started: 2019-01-29

mlogit

Rendered frommlogit.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2019-07-02
Started: 2019-01-11

Readme and manuals

Help Manual

Help pageTopics
mlogit package: estimation of random utility discrete choice models by maximum likelihoodmlogit-package
Stated Preferences for Car ChoiceCar
Choice of Brand for CatsupCatsup
Correlation structure of the random parameterscor.mlogit cov.mlogit
Choice of Brand for CrakersCracker
Functions used to describe the characteristics of estimated random parametersdistribution drpar drpar.mlogit drpar.rpar mean.mlogit mean.rpar med med.mlogit med.rpar prpar prpar.mlogit prpar.rpar qrpar qrpar.mlogit qrpar.rpar rg rg.mlogit rg.rpar stdev stdev.mlogit stdev.rpar
Marginal effects of the covariateseffects.mlogit
Stated preference data for the choice of electricity suppliersElectricity
Choice of Fishing ModeFishing
Ranked data for gaming platformsGame Game2
Heating and Cooling System Choice in Newly Built Houses in CaliforniaHC
Heating System Choice in California HousesHeating
Hausman-McFadden Testhmftest hmftest.formula hmftest.mlogit
Japanese Foreign Direct Investment in European RegionsJapaneseFDI
Compute the log-sum or inclusive value/utilitylogsum
Model formula for logit modelsis.mFormula mFormula mFormula.formula model.frame.mFormula model.matrix.mFormula
Methods for mlogit objectscoef.mlogit coef.summary.mlogit df.residual.mlogit fitted.mlogit index.mlogit logLik.mlogit miscmethods.mlogit model.matrix.mlogit model.response.mlogit predict.mlogit print.mlogit print.summary.mlogit residuals.mlogit summary.mlogit terms.mlogit update.mlogit
Multinomial logit modelmlogit
data.frame for logit model$.mlogit.data $<-.mlogit.data formula.mlogit.data index index.mlogit.data mean.mlogit.data mlogit.data print.mlogit.data print.pseries [.mlogit.data [[.mlogit.data [[<-.mlogit.data
Non-linear minimization routinemlogit.optim
Mode ChoiceMode
Mode Choice for the Montreal-Toronto CorridorModeCanada
Technologies to reduce NOx emissionsNOx
Plot of the distribution of estimated random parametersplot.mlogit plot.rpar
Risky Transportation ChoicesRiskyTransport
random parameter objectsprint.rpar rpar summary.rpar
The three tests for mlogit modelslrtest lrtest.mlogit scoretest scoretest.default scoretest.mlogit waldtest waldtest.mlogit
Stated Preferences for Train TravelingTrain
vcov method for mlogit objectsprint.summary.vcov.mlogit print.vcov.mlogit summary.vcov.mlogit vcov.mlogit