NOTE: All development has moved to pysal/mgwr

**G**eographically **W**eighted **R**egression =======================================

This module provides geographically weighted regression functionality. It is built upon the sparse generalized linear modeling (spglm) module.

Features

The gwr module currently features

• gwr model estimation via iteratively weighted least squares for Gaussian, Poisson, and binomial probability models.
• gwr bandwidth selection via golden section search
• gwr-specific model diagnostics, including a multiple hypothesis testing correction
• gwr-based spatial prediction

Future Work

• Additional probability models (gamma, negative binomial)
• Tests for spatial variability
• Multi-scale gwr