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). Done with v0.6.0
• Consider adding sigma as another argument to cbc_design for Bayesian D-efficient designs to have more control over priors (see here). Done with v0.6.0. Handled with new cbc_priors() function.
• Minimize overlap / avoid full overlap in cbc_design request: minimize overlap or avoid full overlap in cbc_design() #30. Done with v0.6.0. New methods in cbc_design() for minimizing overlap, specifically "minoverlap" method.
• Randomize order across respondents request: randomize question/alternatives par respondents #29 Done with v0.6.0.
• full / orthogonal methods return NA cbc_design(method = full/orthogonal) returns a design with NA  #28 No longer relevant as of v0.6.0.
• 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). Done as of v0.6.0, which implements a new class structure for all cbc_* functions. The cbc_power() function returns a cbc_power class object with print, summary, and plot methods. Users can get entire models back as well, see here