Multinomial Logit Models for Categorical Responses and Discrete Choices
Overview
Provides estimators for multinomial logit models in their conditional logit (for discrete choices) and baseline logit variants (for categorical responses), optionally with overdispersion or random effects. Random effects models are estimated using the PQL technique (based on a Laplace approximation) or the MQL technique (based on a Solomon-Cox approximation). Estimates should be treated with caution if the group sizes are small.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 11
- Examples that run
- 86%6 run in a plain check · 1 never run
- Exported functions with examples
- 57%
- Documented parameters
- 92%
- Return-value docs
- 57%
- Help pages citing references
- 27%
Also includes 2 demo scripts (run with demo())
- Approximate Inference for Multinomial Logit Models with Random Effects HTML
- Baseline-category logit models HTML
- Conditional logit models HTML
- Random effects in baseline logit models and conditional logit models HTML
- The IWLS algorithm used to fit conditional logit models HTML
- The relation between baseline logit and conditional logit models HTML
Downloads
Repository
- PRs merged (all time)
- 83%
- Median days to close, 50 most recently updated closed issues
- 30
- Median days to close, 50 most recently updated closed PRs
- 2
5 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/melff/mclogit on 2026-10-21.
The R CMD check workflow runs on Linux
GitHub Pages site last deployed 2026-01-05 · The repository has a site deploy workflow
pkgdown site last built 2026-01-05
Dependencies
Installing mclogit adds 4 packages (4 with compiled code, 7.3 MB of source tarballs). Heaviest: data.table 5.7 MB, jsonlite 1.0 MB, memisc 547 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.9.15Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.9.62022-10-27 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.9.4.22022-04-19 · diff ↗
- 0.9.42022-04-11 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.8.7.32021-03-29 · diff ↗
- 0.8.6.42020-11-04 · diff ↗
- 0.8.5.12020-07-01 · diff ↗ ·
removed 1 export
mmclogit.fitPQLadded 5 exports
mmclogit.fitPQLMQL, mmclogit.control, getSummary.mmclogit, getSummary.mmblogit, dispersion - RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.6.12018-09-27 · diff ↗
Show 21 earlier eventsHide 21 earlier events
- 0.62018-05-10 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.5.1
- RR 3.4.0 released · 2017-04-21
- 0.4.4
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 0.3-12014-10-14 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 0.2-72013-09-20 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 0.2-6
- RR 2.15.0 released · 2012-03-30
- 0.2-32011-12-09 · diff ↗
- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- 0.2-22010-04-09 · diff ↗
- 0.2-12010-04-08
- RR 2.10.0 released · 2009-10-26
Package metadata
- First published
- 2010-04-08
- Total releases
- 17 / 16 yrs
- License
- GPL-2 OSI
- Bundled data
- 2.0 KB / 2 files
- Download size
- 92 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mclogit")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.