Package: gwrr 0.2-2

gwrr: Fits Geographically Weighted Regression Models with Diagnostic Tools

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) <doi:10.1068/a40256> and Wheeler (2007) <doi:10.1068/a38325> for more details.

Authors:David Wheeler

gwrr_0.2-2.tar.gz
gwrr_0.2-2.zip(r-4.5)gwrr_0.2-2.zip(r-4.4)gwrr_0.2-2.zip(r-4.3)
gwrr_0.2-2.tgz(r-4.5-any)gwrr_0.2-2.tgz(r-4.4-any)gwrr_0.2-2.tgz(r-4.3-any)
gwrr_0.2-2.tar.gz(r-4.5-noble)gwrr_0.2-2.tar.gz(r-4.4-noble)
gwrr_0.2-2.tgz(r-4.4-emscripten)gwrr_0.2-2.tgz(r-4.3-emscripten)
gwrr.pdf |gwrr.html
gwrr/json (API)

# Install 'gwrr' in R:
install.packages('gwrr', repos = c('https://dcwheels.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.41 score 2 stars 13 scripts 272 downloads 5 exports 7 dependencies

Last updated 3 years agofrom:e2ce5b9d52. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-winOKMar 19 2025
R-4.5-macOKMar 19 2025
R-4.5-linuxOKMar 19 2025
R-4.4-winOKMar 19 2025
R-4.4-macOKMar 19 2025
R-4.4-linuxOKMar 19 2025
R-4.3-winOKMar 19 2025
R-4.3-macOKMar 19 2025

Exports:gwl.estgwr.bw.estgwr.estgwr.vdpgwrr.est

Dependencies:dotCall64fieldslarsmapsRcppspamviridisLite