Plan experiments with reproducible study layouts.
Plans interpretable experiments and generates reproducible treatment allocations and experimental layouts before data collection.
When to use it
Use when planning experiments, assigning units to treatments, controlling nuisance variation, or choosing factorial, repeated-measures, clustered, or adaptive designs.
Give it a study to plan; it produces a documented experimental design and reproducible allocation schedules or run layouts.
Requires Python 3.12 or later to run the bundled design helpers.
The bundled helpers require numpy; the installation command pins version 2.5.3.
This skill
arXiv
Fetches current paper citation details
numpy
Installs numpy for design generation