hgwrr

Hierarchical and Geographically Weighted Regression

CRAN Package

This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022). If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.


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  • Depends5 packages
  • Imports1 package
  • Suggests5 packages
  • Linking To2 packages