Package index • cbcTools

Profiles

Functions for generating attribute profiles.

cbc_profiles(): Make a data frame of all combinations of attribute levels

cbc_restrict(): Obtain a restricted set of profiles

Priors

Functions for generating prior (assumed) coefficients.

cbc_priors(): Create prior specifications for CBC models

rand_spec(): Create a random parameter specification

cor_spec(): Create a correlation specification for random parameters

int_spec(): Create an interaction specification for fixed parameters

Design

Functions for generating and comparing survey designs.

cbc_design(): Generate survey designs for choice experiments (Updated Implementation)

cbc_compare(): Compare multiple choice experiment designs

Inspect

Functions for inspecting and encoding survey designs.

cbc_inspect(): Comprehensive design quality inspection

cbc_encode(): Encode categorical variables in a CBC design

Simulate Choice

Functions for simulating choices.

cbc_choices(): Simulate choices for a survey design

Power Analysis

Functions for conducting power analysis.

cbc_power(): Estimate power analysis for choice experiment designs

plot_compare_power(): Compare power across multiple designs

Methods

Various S3 methods.

print(<cbc_profiles>): Print method for cbc_profiles objects

print(<cbc_priors>): Print method for cbc_priors objects

print(<cbc_design>): Concise print method for cbc_design objects

print(<cbc_choices>): Print method for cbc_choices objects

print(<cbc_power>): Print method for cbc_power objects

plot(<cbc_power>): Plot method for cbc_power objects

summary(<cbc_power>): Summary method for cbc_power objects

print(<cbc_inspection>): Print method for cbc_inspection objects

print(<cbc_comparison>): Print method for cbc_comparison objects

Depreciated

Depreciated functions.

cbc_decode(): Convert dummy-coded CBC data back to categorical format