NEWS.md

In spatemR: Generalized Spatial Autoregresive Models for Mean and Variance

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.

spatemR documentation built on June 8, 2025, 1:16 p.m.