Reference

Design Functions for generating survey designs.
cbc_profiles()	Make a data frame of all combinations of attribute levels
cbc_restrict()	Obtain a restricted set of profiles
cbc_design()	Make a choice-based conjoint survey design
Inspect Functions for inspecting survey designs.
cbc_balance()	Counts of attribute balance
cbc_overlap()	Counts of attribute overlap
Simulate Choice Functions for simulating choices.
cbc_choices()	Simulate choices for a survey design
randN()	Define a prior (assumed) model parameter as normally-distributed.
randLN()	Define prior (assumed) model parameter as log-normally-distributed.
Power Analysis Functions for conducting a power analysis.
cbc_power()	Estimate the same model on different size subsets of data
plot_compare_power()	Plot a comparison of different design powers
Methods Various methods.
print(<cbc_models>)	Methods for cbc_models objects
plot(<cbc_errors>)	Methods for cbc_errors objects