confint.beezdemand_fixed: Confidence Intervals for Fixed-Effect Demand Model Parameters

In beezdemand: Behavioral Economic Easy Demand

Confidence Intervals for Fixed-Effect Demand Model Parameters

Description

Computes confidence intervals for Q0, alpha, and k parameters from individual demand curve fits. Uses asymptotic normal approximation based on standard errors when available.

Usage

## S3 method for class 'beezdemand_fixed'
confint(object, parm = NULL, level = 0.95, ...)

Arguments

object	A beezdemand_fixed object from fit_demand_fixed().
parm	Character vector of parameter names to compute CIs for. Default includes all available parameters.
level	Confidence level (default 0.95).
...	Additional arguments (ignored).

Details

For beezdemand_fixed objects, confidence intervals are computed using the asymptotic normal approximation: estimate +/- z * SE. If standard errors are not available for a parameter, the confidence bounds will be NA.

When the underlying NLS fit objects are available (from detailed = TRUE), this method attempts to use nlstools::confint2() for more accurate profile-based intervals.

Value

A tibble with columns: id, term, estimate, conf.low, conf.high, level.

Examples

fit <- fit_demand_fixed(apt, equation = "hs", k = 2)
confint(fit)
confint(fit, level = 0.90)
confint(fit, parm = "Q0")

beezdemand documentation built on March 3, 2026, 9:07 a.m.