Package: mclogit 0.9.8
Martin Elff
mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion
Provides estimators for multinomial logit models in their conditional logit and baseline logit variants, with or without random effects, with or without overdispersion. 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.
Authors:
mclogit_0.9.8.tar.gz
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mclogit.pdf |mclogit.html✨
mclogit/json (API)
NEWS
# Install 'mclogit' in R: |
install.packages('mclogit', repos = c('https://melff.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/melff/mclogit/issues
Last updated 1 months agofrom:eb416d4a96. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
R-4.4-win | OK | Nov 05 2024 |
R-4.4-mac | OK | Nov 05 2024 |
R-4.3-win | OK | Nov 05 2024 |
R-4.3-mac | OK | Nov 05 2024 |
Exports:dispersiongetSummary.mblogitgetSummary.mclogitgetSummary.mmblogitgetSummary.mmclogitmblogitmclogitmclogit.controlmclogit.fitmmclogit.controlmmclogit.fitPQLMQLrebase
Dependencies:data.tablejsonlitelatticeMASSMatrixmemiscnlmeyaml
Approximate Inference for Multinomial Logit Models with Random Effects
Rendered fromapproximations.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-12-27
Started: 2023-12-27
Baseline-category logit models
Rendered frombaseline-logit.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-12-27
Started: 2023-12-27
Conditional logit models
Rendered fromconditional-logit.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-12-27
Started: 2023-12-27
Random effects in baseline logit models and conditional logit models
Rendered fromrandom-effects.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-12-27
Started: 2023-12-27
The IWLS algorithm used to fit conditional logit models
Rendered fromfitting-mclogit.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-12-27
Started: 2023-12-27
The relation between baseline logit and conditional logit models
Rendered frombaseline-and-conditional-logit.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-12-27
Started: 2023-12-27
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Overdispersion in Multinomial Logit Models | dispersion dispersion.mclogit |
Class, Party Position, and Electoral Choice | electors |
`getSummary` Methods | getSummary.mblogit getSummary.mclogit getSummary.mmblogit getSummary.mmclogit |
Baseline-Category Logit Models for Categorical and Multinomial Responses | fitted.mblogit mblogit print.mblogit print.mmblogit print.summary.mblogit print.summary.mmblogit summary.mblogit summary.mmblogit weights.mblogit |
Conditional Logit Models and Mixed Conditional Logit Models | AIC.mclogit anova.mclogit BIC.mclogit deviance.mclogit fitted.mclogit logLik.mclogit mclogit print.mclogit print.summary.mclogit print.summary.mmclogit ranef.mmclogit residuals.mclogit summary.mclogit summary.mmclogit update.mclogit vcov.mclogit weights.mclogit |
Control Parameters for the Fitting Process | mclogit.control mmclogit.control |
Internal functions used for model fit. | mclogit.fit mmclogit.fitPQLMQL |
Predicting responses or linear parts of the baseline-category and conditional logit models | predict.mblogit predict.mclogit predict.mmblogit predict.mmclogit |
Change baseline category of multinomial logit or similar model | rebase rebase.mblogit |
Simulating responses from baseline-category and conditional logit models | simulate.mblogit simulate.mclogit simulate.mmblogit simulate.mmclogit |
Choice of Means of Transport | Transport |