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median-absolute-deviation

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This repository provides a **tested and validated forensic model** designed to help researchers, economists, and technical auditors investigate national trade data for anomalies, tariff code misclassifications, and potential trade misinvoicing (under-invoicing / over-invoicing).

  • Updated Sep 11, 2026
  • Python

R package for fast, outlier-resistant estimation of location and scale. SIMD-accelerated Qn, Sn, MAD, IQR, GMD, M-estimators, and a variance-weighted ensemble with bootstrap CIs. 2–9× faster than robustbase.

  • Updated May 4, 2026
  • C++

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