Centaurioun/robust-statistics-toolkit
skill/robust-statistics-toolkit/SKILL.md
Robust statistical methods resistant to outliers
tools
Updated Apr 22, 2026
$ install --global
skillsauthnpx skillsauth add Centaurioun/osteogenesis_imperfecta robust-statistics-toolkitInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- robust-statistics-toolkit
- description:
- Robust statistical methods resistant to outliers
- specialization:
- mathematics
- domain:
- science
- category:
- statistical-computing
- phase:
- 6
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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