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-4.7-any)gwrr_0.2-2.zip(r-4.6-any)gwrr_0.2-2.zip(r-4.5-any)
gwrr_0.2-2.tgz(r-4.6-any)gwrr_0.2-2.tgz(r-4.5-any)
gwrr_0.2-2.tar.gz(r-4.7-any)gwrr_0.2-2.tar.gz(r-4.6-any)
gwrr_0.2-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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.

1.62 score 3 stars 14 scripts 389 downloads 5 exports 8 dependencies

Last updated from:e2ce5b9d52. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK99
source / vignettesOK206
linux-releaseOK103
macos-releaseOK169
macos-oldrelOK189
windows-develOK66
windows-releaseOK69
windows-oldrelOK64
wasm-releaseOK78

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

Dependencies:dotCall64fieldslarsmapsRColorBrewerRcppspamviridisLite