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:Martin Elff

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NEWS

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

Peer review:

Bug tracker:https://github.com/melff/mclogit/issues

Datasets:
  • Transport - Choice of Means of Transport
  • electors - Class, Party Position, and Electoral Choice

On CRAN:

13 exports 22 stars 3.30 score 8 dependencies 3 dependents 5 mentions 239 scripts 3.6k downloads

Last updated 2 months agofrom:5c848e46cb. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winWARNINGSep 05 2024
R-4.5-linuxWARNINGSep 05 2024
R-4.4-winWARNINGSep 05 2024
R-4.4-macWARNINGSep 05 2024
R-4.3-winWARNINGSep 05 2024
R-4.3-macWARNINGSep 05 2024

Exports:dispersiongetSummary.mblogitgetSummary.mclogitgetSummary.mmblogitgetSummary.mmclogitmblogitmclogitmclogit.controlmclogit.fitmmclogit.controlmmclogit.fitPQLMQLranefrebase

Dependencies:data.tablejsonlitelatticeMASSMatrixmemiscnlmeyaml

Readme and manuals

Help Manual

Help pageTopics
Overdispersion in Multinomial Logit Modelsdispersion dispersion.mclogit
Class, Party Position, and Electoral Choiceelectors
`getSummary` MethodsgetSummary.mblogit getSummary.mclogit getSummary.mmblogit getSummary.mmclogit
Baseline-Category Logit Models for Categorical and Multinomial Responsesfitted.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 ModelsAIC.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 Processmclogit.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 modelspredict.mblogit predict.mclogit predict.mmblogit predict.mmclogit
Change baseline category of multinomial logit or similar modelrebase
Simulating responses from baseline-category and conditional logit modelssimulate.mblogit simulate.mclogit simulate.mmblogit simulate.mmclogit
Choice of Means of TransportTransport