Design and Evaluate Choice-Based Conjoint Survey Experiments
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘cbcTools’ version 0.2.0
Help Pages
| cbc_balance | Counts of attribute balance |
| cbc_choices | Simulate choices for a survey design |
| cbc_design | Make a random or Bayesian D-efficient 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 |
| miscmethods.cbc_errors | Methods for cbc_errors objects |
| miscmethods.cbc_models | Methods for cbc_models objects |
| plot.cbc_errors | Methods for cbc_errors objects |
| 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. |