Hierarchical and Geographically Weighted Regression. This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach
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curl https://depscope.dev/api/check/cran/hgwrrFirst published · 2025-09-28 05:51:44
Last updated · 2025-09-28T04:20:28+00:00