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Changelog

[Unreleased]

Added

• New Generalized Spatial Autoregression (GSAR) model for spatial econometrics.
• Joint modeling of mean and variance with spatial dependencies and semiparametric effects.
• Support for generalized additive models (GAM) allowing non-parametric terms in both mean and variance models.
• Flexible modeling for non-normal response variables in the exponential family (e.g., logistic, probit, Poisson).

Changed

• Enhanced spatial regression methods to improve computational efficiency and statistical properties.
• Improved documentation with more detailed explanations and examples of the new GSAR model.

[1.0.0] - 2025-03-26

Added

• Initial release of the package with the core functionality for spatial modeling using GSAR.
• Joint modeling of the dependent variable’s mean and variance with spatial effects.
• Semiparametric effects incorporated into both models for better flexibility and model fitting.

Fixed

• Bug fixes in the spatial weighting matrices for better compatibility with different data structures.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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