Package index

Fitting nested logit models

Core functions for specifying dichotomies and fitting nested logit models.

nestedLogit() logits() dichotomy() continuationLogits()

Binary Logit Models for Nested Dichotomies

print(<nestedLogit>) summary(<nestedLogit>) print(<summary.nestedLogit>) print(<dichotomies>) predict(<nestedLogit>) print(<predictNestedLogit>) confint(<predictNestedLogit>) print(<predictDichotomies>) fitted(<nestedLogit>) coef(<nestedLogit>) vcov(<nestedLogit>) update(<nestedLogit>) as.matrix(<dichotomies>) as.character(<dichotomies>) as.matrix(<continuationDichotomies>) as.dichotomies()

Methods for "nestedLogit" and Related Objects

models()

Extract Binary Logit Models from a nestedLogit Object

plot(<nestedLogit>)

Plotting Nested Logit Models

as.data.frame(<predictNestedLogit>)

Convert a Predicted Objects to a data.frame

Hypothesis tests

Anova, linear hypothesis, and likelihood ratio tests for nested logit models.

Anova(<nestedLogit>) print(<Anova.nestedLogit>) linearHypothesis(<nestedLogit>) anova(<nestedLogit>) print(<anova.nestedLogit>) logLik(<nestedLogit>)

Hypothesis-Testing and Related Methods for "nestedLogit" Objects

Support for other packages

Methods for broom and effects packages.

glance(<nestedLogit>) tidy(<nestedLogit>)

Broom Related Methods

Effect(<nestedLogit>)

Effect Displays for Nested Logit Models

Datasets

Example datasets included in the package.

GSS

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

HealthInsurance

Choice of Health Insurance Product

gators

Alligator Food Choice