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 1. Outlier Detection : Identify potential outliers first 2. Estimator Selection : Choose based on expected contamination 3. Breakdown Point : Consider required breakdown point 4. Efficiency : Balance robustness and efficiency Tools/Librari…