ReddRadar
Agent skill
robust-statistics-toolkit
Robust statistical methods resistant to outliers
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/robust-statistics-toolkit
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- statistical-computing
- specialization
- mathematics
SKILL.md
Robust Statistics Toolkit
Purpose
Provides robust statistical methods resistant to outliers and model violations for reliable inference.
Capabilities
- M-estimators (Huber, Tukey)
- Trimmed and winsorized estimators
- Robust regression (MM-estimation)
- Breakdown point analysis
- Influence function computation
- Robust covariance estimation
Usage Guidelines
- Outlier Detection: Identify potential outliers first
- Estimator Selection: Choose based on expected contamination
- Breakdown Point: Consider required breakdown point
- Efficiency: Balance robustness and efficiency
Tools/Libraries
- robustbase (R)
- scikit-learn
- statsmodels
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