rigorous-experiments
Skillby glebis
This skill should be used when designing, running, validating, or auditing statistical experiments on personal or observational time-series data (health metrics, speech/text corpora, behavioral logs, diaries, n-of-1 self-tracking). It enforces pre-registration, exact permutation tests, FDR discipline, data-validation gates, adversarial code review, and cross-validation with external models. Triggers on "design an experiment", "test this hypothesis on my data", "is this correlation real", "audit these findings", "pre-register", "validate this dataset", or any n-of-1 / quantified-self analysis request.
Details
- Path
- rigorous-experiments
- Bundled scripts
- 6
- Dependencies
- 1
Bundled scripts
- rigorous-experiments/evals/run_evals.py
- rigorous-experiments/evals/cases/bad_exp.py
- rigorous-experiments/evals/cases/good_exp.py
- rigorous-experiments/scripts/explorer.py
- rigorous-experiments/scripts/triage.py
- rigorous-experiments/scripts/perm_stats.py