Package: mlogit 2.0-0
mlogit: Multinomial Logit Models
Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.
Authors:
mlogit_2.0-0.tar.gz
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mlogit_2.0-0.tgz(r-4.6-any)mlogit_2.0-0.tgz(r-4.5-any)
mlogit_2.0-0.tar.gz(r-4.7-any)mlogit_2.0-0.tar.gz(r-4.6-any)
mlogit_2.0-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mlogit/json (API)
NEWS
| # Install 'mlogit' in R: |
| install.packages('mlogit', repos = c('https://ycroissant.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ycroissant/mlogit/issues
- 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
Last updated from:319d2db8c3. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 169 | ||
| source / vignettes | OK | 340 | ||
| linux-release-x86_64 | WARNING | 192 | ||
| macos-release-arm64 | WARNING | 123 | ||
| macos-oldrel-arm64 | WARNING | 150 | ||
| windows-devel | WARNING | 252 | ||
| windows-release | WARNING | 155 | ||
| windows-oldrel | WARNING | 200 | ||
| wasm-release | OK | 118 |
Exports:cor.mlogitcov.mlogitdfidxdrpargazehas.intercepthmftestidxidx_nameis.mFormulalogsumlrtestmedmFormulamlogitmlogit.datamlogit.optimpredsprparqrparrgrparscoretestslpsstdevwaldtest
Dependencies:CompQuadFormdfidxFormulagenericslatticelmtestMatrixmicsrnumDerivrbibutilsRcppRdpacksandwichsurvivalzoo
Data management, model description and testing
Rendered fromc2.formula.data.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-06-02
Started: 2024-09-01
Random utility model and the multinomial logit model
Rendered fromc3.rum.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-06-02
Started: 2024-09-01
Logit models relaxing the iid hypothesis
Rendered fromc4.relaxiid.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-06-02
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The random parameters (or mixed) logit model
Rendered fromc5.mxl.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-06-02
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The multinomial probit model
Rendered fromc6.mprobit.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-01-26
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Miscellaneous models
Rendered fromc7.miscmodels.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-01-26
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Exercise 1: Multinomial logit model
Rendered frome1.mlogit.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-01-26
Started: 2024-09-01
Exercise 2: Nested logit model
Rendered frome2.nlogit.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-01-26
Started: 2024-09-01
Exercise 3: Mixed logit model
Rendered frome3.mxlogit.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-01-26
Started: 2024-09-01
Exercise 4: Multinomial probit
Rendered frome4.mprobit.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-01-26
Started: 2024-09-01
mlogit
Rendered fromc1.mlogit.qmdusingquarto::htmlon Jun 02 2026.Last update: 2026-06-02
Started: 2024-09-01
