Package index • nestedLogit

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>) 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
as.tree(): Display the Tree Structure of Nested Dichotomies

Methods for constructing plots of nested logit models.

predict(<nestedLogit>) print(<predictNestedLogit>) confint(<predictNestedLogit>) print(<predictDichotomies>) fitted(<nestedLogit>): Predicted Probabilities and Logits for "nestedLogit" Models
as.data.frame(<predictNestedLogit>): Convert a Predicted Objects to a data.frame
plot(<nestedLogit>): Plotting Nested Logit Models
Effect(<nestedLogit>): Effect Displays for Nested Logit Models

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
RSQ() print(<RSQ.nestedLogit>) print(<RSQ.multinom>) print(<RSQ.polr>): Pseudo-R² Measures for Nested Logit and Related Models

Methods for broom and effects packages.

Example datasets included in the package.