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 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.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: broom, car, dplyr, graphics, grDevices, stats
Suggests: carData, directlabels, geomtextpath, ggplot2, here, knitr, nnet, rmarkdown, spelling, testthat, tidyr
Published: 2023-05-15
Author: John Fox ORCID iD [aut], Michael Friendly ORCID iD [aut, cre], Achim Zeileis ORCID iD [ctb]
Maintainer: Michael Friendly <friendly at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: nestedLogit results


Reference manual: nestedLogit.pdf
Vignettes: Nested-dichotomies logistic regression models
Plotting nestedLogit models


Package source: nestedLogit_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nestedLogit_0.2.1.tgz, r-oldrel (arm64): nestedLogit_0.2.1.tgz, r-release (x86_64): nestedLogit_0.2.1.tgz, r-oldrel (x86_64): nestedLogit_0.2.1.tgz

Reverse dependencies:

Reverse suggests: insight, parameters


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