cbc_balance             Counts of attribute balance
cbc_choices             Simulate choices for a survey design
cbc_design              Make a choice-based conjoint survey design
cbc_overlap             Counts of attribute overlap
cbc_power               Estimate the same model on different size
                        subsets of data
cbc_profiles            Make a data frame of all combinations of
                        attribute levels
cbc_restrict            Obtain a restricted set of profiles
miscmethods.cbc_errors
                        Methods for cbc_errors objects
miscmethods.cbc_models
                        Methods for cbc_models objects
plot_compare_power      Plot a comparison of different design powers
randLN                  Define prior (assumed) model parameter as
                        log-normally-distributed.
randN                   Define a prior (assumed) model parameter as
                        normally-distributed.
