microimpute
ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values
npx skills add majiayu000/claude-skill-registry --skill microimpute-skill-policyengine-policyengine-claude --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# MicroImpute MicroImpute enables ML-based variable imputation through different statistical methods, with comparison and benchmarking capabilities. ## For Users 👥 ### What is MicroImpute? When PolicyEngine calculates population impacts, the underlying survey data has missing information. MicroImpute uses machine learning to fill in those gaps intelligently. **What imputation does:** - Fills missing data in surveys - Uses machine learning to predict missing values - Maintains statistical relationships - Improves PolicyEngine accuracy **Example:** - Survey asks about income but not capital gains breakdown - MicroImpute predicts short-term vs long-term capital gains - Based on patterns from IRS data - Result: More accurate tax calculations **You benefit from imputation when:** - PolicyEngine calculates capital gains tax accurately - Benefits eligibility uses complete household information - State-specific calculations have all needed data ## For Analysts 📊 ### Installation ```bash pip install microimpute # With image export (for plots) pip install microimpute[images] ``` ### What MicroImpute Does **Imputation problem:** - Donor dataset has complete information (e.g., IRS tax record
- For Users 👥
- What is MicroImpute?
- For Analysts 📊
- Installation
- What MicroImpute Does
- Quick Example
- Method Comparison
- Quantile Loss (Quality Metric)
- For Contributors 💻
- Repository
- Current Implementation
- Dependencies
- Adding New Imputation Methods
- Usage in policyengine-us-data
pip install microimpute With image export (for plots) pip install microimpute[images] git clone https://github.com/PolicyEngine/microimpute cd microimpute tree microimpute/ Key modules: ls microimpute/ Quantile forest implementation cat microimpute/methods/quantile_forest.py
What does the microimpute skill do?
ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill microimpute-skill-policyengine-policyengine-claude --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.