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.
Version: 0.3.2 Depends: R (≥ 3.5.0) Imports: broom, car, dplyr, effects, graphics, grDevices, stats, stringr, tibble Suggests: carData, geomtextpath, ggplot2, ggeffects, here, lobstr, knitr, nnet, rmarkdown, scales, spelling, testthat, tidyr Published: 2023-06-22 DOI: 10.32614/CRAN.package.nestedLogit Author: John Fox [aut], Michael Friendly [aut, cre], Achim Zeileis [ctb] Maintainer: Michael Friendly <friendly at yorku.ca> BugReports: https://github.com/friendly/nestedLogit/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/friendly/nestedLogit NeedsCompilation: no Language: en-US Materials: NEWS CRAN checks: nestedLogit results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=nestedLogit to link to this page.
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