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.