TODO

[jhelvy]

I'm just collecting some todo items here from existing issues:

• Consider adding support for naming the attribute levels in the priors arguments for cbc_choices and cbc_design (see The order of priors in cbc_design and its connection to cbc_profiles #24).
• Consider adding sigma as another argument to cbc_design for Bayesian D-efficient designs to have more control over priors (see here).
• Minimize overlap / avoid full overlap in cbc_design request: minimize overlap or avoid full overlap in cbc_design() #30.
• Randomize order across respondents request: randomize question/alternatives par respondents #29
• full / orthogonal methods return NA cbc_design(method = full/orthogonal) returns a design with NA  #28
• Update cbc_power() to return a new class object of all of the estimated models and then create a print and summary method for this class that shows key information (see here).