# Design and Analyze Choice-Based Conjoint Experiments

## Documentation for package ‘cbcTools’ version 0.7.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

cbc_choices | Simulate choices for a survey design
cbc_compare | Compare multiple choice experiment designs
cbc_decode | Convert dummy-coded CBC data back to categorical format
cbc_design | Generate survey designs for choice experiments (Updated Implementation)
cbc_encode | Encode categorical variables in a CBC design
cbc_inspect | Comprehensive design quality inspection
cbc_power | Estimate power analysis for choice experiment designs
cbc_priors | Create prior specifications for CBC models
cbc_profiles | Make a data frame of all combinations of attribute levels
cbc_restrict | Obtain a restricted set of profiles
cor_spec | Create a correlation specification for random parameters
int_spec | Create an interaction specification for fixed parameters
plot.cbc_power | Plot method for cbc_power objects
plot_compare_power | Compare power across multiple designs
print.cbc_choices | Print method for cbc_choices objects
print.cbc_comparison | Print method for cbc_comparison objects
print.cbc_design | Concise print method for cbc_design objects
print.cbc_inspection | Print method for cbc_inspection objects
print.cbc_power | Print method for cbc_power objects
print.cbc_priors | Print method for cbc_priors objects
print.cbc_profiles | Print method for cbc_profiles objects
rand_spec | Create a random parameter specification
summary.cbc_power | Summary method for cbc_power objects