Hierarchical and Geographically Weighted Regression

---

Documentation for package ‘hgwrr’ version 0.5-0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

hgwrr-package	HGWR: Hierarchical and Geographically Weighted Regression
coef.hgwrm	Get estimated coefficients.
fitted.hgwrm	Get fitted response.
hgwr	Hierarchical and Geographically Weighted Regression
hgwr.data.frame	Hierarchical and Geographically Weighted Regression
hgwr.sf	Hierarchical and Geographically Weighted Regression
hgwr_fit	Hierarchical and Geographically Weighted Regression
logLik.hgwrm	Log likelihood function
make.dummy	Make Dummy Variables
make.dummy.extract	Make Dummy Variables
make.dummy.extract.character	Make Dummy Variables
make.dummy.extract.default	Make Dummy Variables
make.dummy.extract.factor	Make Dummy Variables
make.dummy.extract.logical	Make Dummy Variables
multisampling	Simulated Spatial Multisampling Data (DataFrame)
multisampling.large	Large Scale Simulated Spatial Multisampling Data (DataFrame)
print.hgwrm	Print description of a 'hgwrm' object.
print.shgt	Print the result of spatial heterogeneity test
print.summary.hgwrm	Print summary of an 'hgwrm' object.
print.table.md	Print a character matrix as a table.
residuals.hgwrm	Get residuals.
spatial_hetero_test	Test the spatial heterogeneity in data based on permutation.
summary.hgwrm	Summary an 'hgwrm' object.
wuhan.hp	Wuhan Second-hand House Price and POI Data (DataFrame)