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 |