cbc_choices: Simulate choices for a survey design

In cbcTools: Design and Analyze Choice-Based Conjoint Experiments

Simulate choices for a survey design

Description

Simulate choices for a survey design, either randomly or according to a utility model defined by user-provided prior parameters. When priors are provided, choices are simulated using the same probability computation framework as used in cbc_design() for consistency.

Usage

cbc_choices(design, priors = NULL)

Arguments

design	A cbc_design object created by cbc_design()
priors	A cbc_priors object created by cbc_priors(), or NULL (default) for random choices.

Value

Returns the input design with an additional choice column identifying the simulated choices.

Examples

library(cbcTools)

# Create profiles and design
profiles <- cbc_profiles(
  price = c(1, 2, 3),
  type = c("A", "B", "C"),
  quality = c("Low", "High")
)

design <- cbc_design(
  profiles = profiles,
  n_alts = 2,
  n_q = 4
)

# Simulate random choices (default)
choices_random <- cbc_choices(design)

# Create priors and simulate utility-based choices
priors <- cbc_priors(
  profiles = profiles,
  price = -0.1,
  type = c(0.5, 0.2),  # vs reference level
  quality = 0.3
)

choices_utility <- cbc_choices(design, priors = priors)

cbcTools documentation built on Aug. 21, 2025, 6:03 p.m.