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nestedLogit  

Nested Dichotomy Logistic Regression Models
View on CRAN: Click here


Download and install nestedLogit package within the R console
Install from CRAN:
install.packages("nestedLogit")

Install from Github:
library("remotes")
install_github("cran/nestedLogit")

Install by package version:
library("remotes")
install_version("nestedLogit", "0.3.2")



Attach the package and use:
library("nestedLogit")
Maintained by
Michael Friendly
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-15
Latest Update: 2023-06-22
Description:
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.
How to cite:
Michael Friendly (2023). nestedLogit: Nested Dichotomy Logistic Regression Models. R package version 0.3.2, https://cran.r-project.org/web/packages/nestedLogit. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.2.1 (2023-05-15 10:20), 0.3.0 (2023-05-30 19:10), 0.3.2 (2023-06-22 16:52), 0.3.4 (2026-02-01 20:50), 0.4.0 (2026-03-06 18:00)
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Complete documentation for nestedLogit
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