Choice-Based Conjoint Experiment Design Generation and Power Evaluation in R


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Documentation for package ‘cbcTools’ version 0.5.0

Help Pages

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.cbc_errors Methods for cbc_errors objects
plot_compare_power Plot a comparison of different design powers
print.cbc_models Methods for cbc_models objects
randLN Define prior (assumed) model parameter as log-normally-distributed.
randN Define a prior (assumed) model parameter as normally-distributed.