ReddRadar
Agent skill
performing-causal-analysis
Fits causal models, estimates impacts, and plots results using CausalPy. Use when performing analysis with DiD, ITS, SC, or RD.
Install this agent skill to your Project
npx add-skill https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/performing-causal-analysis
SKILL.md
Performing Causal Analysis
Executes causal analysis using CausalPy experiment classes.
Workflow
- Load Data: Ensure data is in a Pandas DataFrame.
- Initialize Experiment: Use the appropriate class (see References).
- Fit & Model: Models are fitted automatically upon initialization if arguments are provided.
- Analyze Results: Use
summary(),print_coefficients(), andplot().
Core Methods
experiment.summary(): Prints model summary and main results.experiment.plot(): Visualizes observed vs. counterfactual.experiment.print_coefficients(): Shows model coefficients.
References
Detailed usage for specific methods:
- Difference-in-Differences
- Interrupted Time Series
- Synthetic Control
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