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PyMC · pymc-labs/CausalPy
4 skills found.
Category:
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance. | pymc-labs/ | 1.2k | 1 repo | ~442 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Explore unfamiliar APIs, libraries, or implementation behavior with minimal reproducible examples and documented findings. | pymc-labs/ | 1.2k | — | ~442 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Fit, summarize, plot, and interpret a chosen CausalPy experiment. | pymc-labs/ | 1.2k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Bring a pull request to green by syncing with main, resolving conflicts safely, and fixing failing checks with CausalPy conventions. | pymc-labs/ | 1.2k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
