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✨
DESCRIPTION |NEWS
card.svg |card.png
nestedLogit/json (API)
| # 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 | 232 | ||
| source / vignettes | OK | 274 | ||
| linux-release-x86_64 | OK | 261 | ||
| macos-release-arm64 | OK | 129 | ||
| macos-oldrel-arm64 | OK | 143 | ||
| windows-devel | OK | 132 | ||
| windows-release | OK | 142 | ||
| windows-oldrel | OK | 122 | ||
| wasm-release | OK | 203 |
Exports:as.dichotomiesas.treecontinuationLogitsdichotomylogitsmodelsnestedLogitRSQ
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DBIDerivdoBydplyreffectsestimabilityfarverforecastFormulafracdiffgenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamitoolsmodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurveysurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Last update: 2026-05-27
Started: 2026-03-22
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Last update: 2026-03-05
Started: 2026-03-03
Last update: 2024-06-03
Started: 2023-05-28
Last update: 2023-05-30
Started: 2023-05-27
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 |
