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gwrr  

Fits Geographically Weighted Regression Models with Diagnostic Tools
View on CRAN: Click here


Download and install gwrr package within the R console
Install from CRAN:
install.packages("gwrr")

Install from Github:
library("remotes")
install_github("cran/gwrr")

Install by package version:
library("remotes")
install_version("gwrr", "0.2-2")



Attach the package and use:
library("gwrr")
Maintained by
David Wheeler
[Scholar Profile | Author Map]
First Published: 2011-11-23
Latest Update: 2022-05-10
Description:
Fits geographically weighted regression (GWR) models and has tools to diagnose and remediate collinearity in the GWR models. Also fits geographically weighted ridge regression (GWRR) and geographically weighted lasso (GWL) models. See Wheeler (2009) and Wheeler (2007) for more details.
How to cite:
David Wheeler (2011). gwrr: Fits Geographically Weighted Regression Models with Diagnostic Tools. R package version 0.2-2, https://cran.r-project.org/web/packages/gwrr. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.1-1 (2011-11-23 11:21), 0.1-2 (2011-11-29 07:57), 0.2-1 (2013-06-19 18:13)
Other packages that cited gwrr R package
View gwrr citation profile
Other R packages that gwrr depends, imports, suggests or enhances
Complete documentation for gwrr
Functions, R codes and Examples using the gwrr R package
Some associated functions: columbus . gwr.bw.est . gwr.est . gwr.vdp . gwrr-package . 
Some associated R codes: gwr.bw.est.R . gwr.est.R . gwr.vdp.R . gwrr.est.R . gwrr_helpers.R .  Full gwrr package functions and examples
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