hgwrr
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)[https://doi.org/10.1177%2F23998083211063885]. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.
- Version0.6-1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release11/16/2024
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Team
Yigong Hu
Richard Harris
Show author detailsRolesAuthorRichard Timmerman
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- Depends2 packages
- Imports1 package
- Suggests5 packages
- Linking To2 packages