Package: hgwrr 0.5-0
Yigong Hu
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)<doi:10.1177/23998083211063885>. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.
Authors:
hgwrr_0.5-0.tar.gz
hgwrr_0.5-0.tar.gz(r-4.5-noble)hgwrr_0.5-0.tar.gz(r-4.4-noble)
hgwrr.pdf |hgwrr.html✨
hgwrr/json (API)
NEWS
| # Install 'hgwrr' in R: |
| install.packages('hgwrr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hpdell/hgwrr/issues
Uses libs:
Datasets:
- multisampling - Simulated Spatial Multisampling Data
- multisampling.large - Large Scale Simulated Spatial Multisampling Data
- wuhan.hp - Wuhan Second-hand House Price and POI Data
Last updated 3 months agofrom:07dff39d75. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 12 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 12 2024 |
Exports:hgwrhgwr_fitmake.dummymake.dummy.extractspatial_hetero_test
Dependencies:classclassIntDBIe1071KernSmoothmagrittrMASSproxyRcppRcppArmadillos2sfunitswk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| HGWR: Hierarchical and Geographically Weighted Regression | hgwrr-package |
| Get estimated coefficients. | coef.hgwrm |
| Get fitted response. | fitted.hgwrm |
| Hierarchical and Geographically Weighted Regression | hgwr hgwr.data.frame hgwr.sf hgwr_fit |
| Log likelihood function | logLik.hgwrm |
| Make Dummy Variables | make.dummy make.dummy.extract make.dummy.extract.character make.dummy.extract.default make.dummy.extract.factor make.dummy.extract.logical |
| Simulated Spatial Multisampling Data (DataFrame) | multisampling |
| Large Scale Simulated Spatial Multisampling Data (DataFrame) | multisampling.large |
| Print description of a 'hgwrm' object. | print.hgwrm |
| Print the result of spatial heterogeneity test | print.shgt |
| Print summary of an 'hgwrm' object. | print.summary.hgwrm |
| Print a character matrix as a table. | print.table.md |
| Get residuals. | residuals.hgwrm |
| Test the spatial heterogeneity in data based on permutation. | spatial_hetero_test |
| Summary an 'hgwrm' object. | summary.hgwrm |
| Wuhan Second-hand House Price and POI Data (DataFrame) | wuhan.hp |
