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 2 months agofrom:5c848e46cb. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 05 2024 |
R-4.5-win | WARNING | Sep 05 2024 |
R-4.5-linux | WARNING | Sep 05 2024 |
R-4.4-win | WARNING | Sep 05 2024 |
R-4.4-mac | WARNING | Sep 05 2024 |
R-4.3-win | WARNING | Sep 05 2024 |
R-4.3-mac | WARNING | Sep 05 2024 |
Exports:dispersiongetSummary.mblogitgetSummary.mclogitgetSummary.mmblogitgetSummary.mmclogitmblogitmclogitmclogit.controlmclogit.fitmmclogit.controlmmclogit.fitPQLMQLranefrebase
Dependencies:data.tablejsonlitelatticeMASSMatrixmemiscnlmeyaml
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 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 |
Simulating responses from baseline-category and conditional logit models | simulate.mblogit simulate.mclogit simulate.mmblogit simulate.mmclogit |
Choice of Means of Transport | Transport |