cbcTools vs nmfspalette

cbcTools generates and evaluates designs for choice-based conjoint experiments, gathering several strategies behind one method argument in cbc_design(): random, orthogonal via DoE.base, D-optimal, Bayesian D-efficient and greedy. That structure was set during 2023 across 0.4.0 and 0.5.0, which introduced the method argument, added strategies and documented in a table which options each one supports. The only release since, in August 2025, removes efficiency limitations from the greedy methods.

The package was explicitly built for extension — the 0.4.0 notes say the function is now better set up to add methods in future — and the pattern since has been adding or repairing one method at a time behind a stable interface. After a two-year gap the recent work is performance rather than coverage, which suggests the greedy methods were slow enough to be impractical at realistic design sizes. Restrictions have been added deliberately too, such as blocking the label argument for orthogonal designs because it would destroy orthogonality.

On the extension pattern the maintainer set up, the next release most likely adds another design method or continues tuning existing ones for speed; the entries do not indicate which.