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Name Otani Yuuichiro
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Title

PyPI: gimbal-regression

Author

Yuichiro Otani

Work Type

Computer softwares

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PyPI

Summary

gimbal-regression is a Python package for Gimbal Regression (GR) — a deterministic local linear regression framework for stable and reproducible estimation under anisotropic neighborhood geometry.

The package is designed with a focus on:
  • Deterministic estimation (no iterative optimization)
  • Numerical stability under irregular spatial sampling
  • Explicit diagnostics (conditioning, effective sample size, fallback)
  • Reproducibility via a single-pass estimator

Unlike conventional local regression methods (e.g., GWR/MGWR), gimbal-regression exposes both estimates and their numerical reliability as first-class outputs. The package is distributed on PyPI as gimbal-regression and imported in Python as grpy.

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