glance.cp_model_nls: Get model summaries from a cross-price model

In brentkaplan/beezdemand: Behavioral Economic Easy Demand

Get model summaries from a cross-price model

Description

This function extracts model summary statistics from a cross-price demand model into a single-row data frame, following the conventions of the broom package. It returns goodness-of-fit measures and other model information.

Usage

## S3 method for class 'cp_model_nls'
glance(x, ...)

Arguments

x	A model object from fit_cp_nls or fit_cp_linear
...	Additional arguments (unused)

Value

A one-row data frame with model summary statistics:

r.squared	R-squared value indicating model fit
aic	Akaike Information Criterion
bic	Bayesian Information Criterion
equation	The equation type used in the model
method	The method used to fit the model
transform	The transformation applied to the data, if any

Examples

## Not run: 
# Fit a cross-price demand model
model <- fit_cp_nls(data, equation = "exponentiated", return_all = TRUE)

# Get model summary statistics
glance(model)

## End(Not run)

brentkaplan/beezdemand documentation built on June 11, 2025, 3:50 a.m.