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nestedLogit
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
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[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.
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imports, suggests or enhances
Complete documentation for nestedLogit
Functions, R codes and Examples using
the nestedLogit R package
Some associated functions: Effect.nestedLogit . GSS . HealthInsurance . as.data.frame.predictNestedLogit . broomMethods . models . nestedHypotheses . nestedLogit . nestedMethods . plot.nestedLogit .
Some associated R codes: Effect.nestedLogit.R . GSS.R . HealthInsurance.R . as.data.frame.predict.R . broomMethods.R . models.R . nested.R . nestedHypotheses.R . nestedMethods.R . plot.nested-ci.R . Full nestedLogit package functions and examples
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