Package: nestedLogit 0.4.2
nestedLogit: Nested Dichotomy Logistic Regression Models
Provides functions for specifying and fitting nested dichotomy logistic regression models for a multi-category response and methods for summarising and plotting those models. Nested dichotomies are statistically independent, and hence provide an additive decomposition of tests for the overall 'polytomous' response. When the dichotomies make sense substantively, this method can be a simpler alternative to the standard 'multinomial' logistic model which compares response categories to a reference level. See: J. Fox (2016), "Applied Regression Analysis and Generalized Linear Models", 3rd Ed., ISBN 1452205663.
Authors:
nestedLogit_0.4.2.tar.gz
nestedLogit_0.4.2.zip(r-4.7)nestedLogit_0.4.2.zip(r-4.6)nestedLogit_0.4.2.zip(r-4.5)
nestedLogit_0.4.2.tgz(r-4.6-any)nestedLogit_0.4.2.tgz(r-4.5-any)
nestedLogit_0.4.2.tar.gz(r-4.7-any)nestedLogit_0.4.2.tar.gz(r-4.6-any)
nestedLogit_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nestedLogit/json (API)
NEWS
| # Install 'nestedLogit' in R: |
| install.packages('nestedLogit', repos = c('https://friendly.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/friendly/nestedlogit/issues
Pkgdown/docs site:https://friendly.github.io
- gators - Alligator Food Choice
- GSS - Data From the U.S. General Social Survey 1972-2016
- HealthInsurance - Choice of Health Insurance Product
logistic-regressionmultinomial-logistic-regressionpolytomous-variables
Last updated from:b0a0ac7fee. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 257 | ||
| source / vignettes | OK | 258 | ||
| linux-release-x86_64 | OK | 224 | ||
| macos-release-arm64 | OK | 108 | ||
| macos-oldrel-arm64 | OK | 107 | ||
| windows-devel | OK | 144 | ||
| windows-release | OK | 152 | ||
| windows-oldrel | OK | 184 | ||
| wasm-release | OK | 152 |
Exports:as.dichotomiesas.treecontinuationLogitsdichotomylogitsmodelsnestedLogitRSQ
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DBIDerivdoBydplyreffectsestimabilityfarverforecastFormulafracdiffgenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamitoolsmodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurveysurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Displaying nestedLogit Models as LaTeX Equations
Rendered fromlatex-equations.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2026-05-27
Started: 2026-03-22
Nested-dichotomies logistic regression models
Rendered fromnestedLogit.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2026-03-08
Started: 2023-05-08
Other Examples of Nested Logit Models
Rendered fromother-examples.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2026-03-08
Started: 2026-03-02
Plotting nestedLogit models with ggplot2
Rendered fromplotting-ggplot.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2024-06-03
Started: 2023-05-28
Standard Errors of Fitted Category Probabilities by the Delta Method for the Nested Logit Model
Rendered fromstandard-errors.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2023-05-30
Started: 2023-05-27
Using ggeffects with nestedLogit models
Rendered fromggeffects.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2026-03-05
Started: 2026-03-03
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert a Predicted Objects to a data.frame | as.data.frame.predictNestedLogit |
| Display the Tree Structure of Nested Dichotomies | as.tree as.tree.continuationDichotomies as.tree.dichotomies |
| Broom Related Methods | broomMethods glance.nestedLogit tidy.nestedLogit |
| Effect Displays for Nested Logit Models | Effect.nestedLogit |
| Extract Equations for a '"nestedLogit"' Model | extract_eq.nestedLogit |
| Alligator Food Choice | gators |
| Data From the U.S. General Social Survey 1972-2016 | GSS |
| Choice of Health Insurance Product | HealthInsurance |
| Extract Binary Logit Models from a 'nestedLogit' Object | models models.nestedLogit |
| Hypothesis-Testing and Related Methods for '"nestedLogit"' Objects | Anova.nestedLogit anova.nestedLogit linearHypothesis.nestedLogit logLik.nestedLogit nestedHypotheses print.Anova.nestedLogit print.anova.nestedLogit |
| Binary Logit Models for Nested Dichotomies | continuationLogits dichotomy logits nestedLogit |
| Methods for '"nestedLogit"' and Related Objects | as.character.dichotomies as.dichotomies as.dichotomies.matrix as.matrix.continuationDichotomies as.matrix.dichotomies coef.nestedLogit nestedMethods print.dichotomies print.nestedLogit print.summary.nestedLogit summary.nestedLogit update.nestedLogit vcov.nestedLogit |
| Plotting Nested Logit Models | plot.nestedLogit |
| Predicted Probabilities and Logits for '"nestedLogit"' Models | confint.predictNestedLogit fitted.nestedLogit predict.nestedLogit print.predictDichotomies print.predictNestedLogit |
| Pseudo-R² Measures for Nested Logit and Related Models | print.RSQ.multinom print.RSQ.nestedLogit print.RSQ.polr RSQ RSQ.multinom RSQ.nestedLogit RSQ.polr |
