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

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

## Documentation for package ‘cbcTools’ version 0.5.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## 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.