Individual skill
running-causalpy-experiments
Fit, summarize, plot, and interpret a chosen CausalPy experiment. Use after the causal method has been selected, including when configuring PyMC/sklearn models and scale-aware custom priors.
skills/51-pymc-labs-CausalPy/skills/running-causalpy-experiments/SKILL.md
Source commit 8684584e7d1127940f018157d2c579974fae8f79
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- Observed behavior
- Instructions only
- Last checked
- Nov 10, 2026
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Repository context
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- Repository last updated
- Nov 9, 2026
- License
- NOASSERTION
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Browse files
SKILL.mdcore · 4,466 bytesreference/custom_priors.mddoc · 4,832 bytesreference/diff_in_diff.mddoc · 1,928 bytesreference/instrumental_variable.mddoc · 2,281 bytesreference/interrupted_time_series.mddoc · 1,834 bytesreference/inverse_propensity_weighting.mddoc · 1,722 bytesreference/panel_regression.mddoc · 2,248 bytesreference/piecewise_its.mddoc · 1,655 bytesreference/prepostnegd.mddoc · 1,522 bytesreference/regression_discontinuity.mddoc · 1,935 bytesreference/regression_kink.mddoc · 2,048 bytesreference/staggered_did.mddoc · 2,537 bytesreference/synthetic_control.mddoc · 1,840 bytesreference/synthetic_difference_in_differences.mddoc · 1,719 bytes
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