data · Found in 2 repositories
designing-experiments
Selects the appropriate quasi-experimental method (DiD, ITS, SC) based on data structure and research questions. Use when the user is unsure which method to apply.
View source: pymc-labs/CausalPy ↗Install from source
Install using Skill Manager:
sk install https://github.com/pymc-labs/CausalPy/tree/main/.claude/skills/designing-experiments/SKILL.mdSource-path status is inferred from metadata; it does not verify a live download. Scan and quality scores describe registry checks and are not a guarantee of safety.
Attribution and permissions
Check the original repository for permission and license terms before reuse. Registry metadata does not grant a license.
This guide links to the author’s instructions and includes metadata only.
Request removal or correct attributionCopies with matching content
Exact Markdown body copies across 2 repositories. This count does not identify the original author.