beezdemand (version 0.2.0)

apt_full: Full alcohol purchase task dataset

Description

A larger dataset containing alcohol purchase task data with demographic covariates. Suitable for testing hurdle models and mixed-effects models with covariates.

Usage

apt_full

Format

A data frame with 18,700 rows and 8 columns:

id

Unique participant identifier (1-1100)

gender

Participant gender (Male/Female)

age

Participant age in years

binges

Number of binge drinking episodes

totdrinks

Total number of drinks consumed

tothours

Total hours spent drinking

x

Price point for the purchase task

y

Number of drinks participant would purchase at price x

Examples

# \donttest{
data(apt_full)
# Use a subset for quick demonstration
apt_sub <- apt_full[apt_full$id %in% unique(apt_full$id)[1:20], ]
fit <- fit_demand_hurdle(apt_sub, y_var = "y", x_var = "x", id_var = "id")
summary(fit)
# }