Nested Dichotomy Logistic Regression Models
Convert a Predicted Objects to a data.frame
Broom Related Methods
Effect Displays for Nested Logit Models
Extract Binary Logit Models from a nestedLogit Object
Hypothesis-Testing and Related Methods for "nestedLogit" Objects
Binary Logit Models for Nested Dichotomies
Methods for "nestedLogit" and Related Objects
Plotting Nested Logit Models
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.