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nestedLogit (version 0.3.2)

Nested Dichotomy Logistic Regression Models

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.

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Install

install.packages('nestedLogit')

Monthly Downloads

3,132

Version

0.3.2

License

GPL (>= 2)

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Maintainer

Michael Friendly

Last Published

June 22nd, 2023

Functions in nestedLogit (0.3.2)

nestedLogit

Binary Logit Models for Nested Dichotomies
HealthInsurance

Choice of Health Insurance Product
nestedMethods

Methods for "nestedLogit" and Related Objects
plot.nestedLogit

Plotting Nested Logit Models
broomMethods

Broom Related Methods
models

Extract Binary Logit Models from a nestedLogit Object
as.data.frame.predictNestedLogit

Convert a Predicted Objects to a data.frame
Effect.nestedLogit

Effect Displays for Nested Logit Models
nestedHypotheses

Hypothesis-Testing and Related Methods for "nestedLogit" Objects
GSS

Data From the U.S. General Social Survey 1972-2016