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GWPR.light: Geographically Weighted Panel Regression

A modern, first implementation of Geographically Weighted Panel Regression (GWPR) for spatial panel data. The package provides a unified public API supporting Gaussian and binomial family models, within/pooling/random panel effects, three bandwidth search strategies (grid, Stochastic Gradient Descent, random), five kernel functions, and optional parallel execution via the 'future' framework. Diagnostic tools include spatial Moran's I, local F-test, Hausman test, and Lagrange Multiplier test.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: fixest, glmmTMB, lmtest, plm, sf, stats, utils
Suggests: future, future.apply, rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2026-05-29
DOI: 10.32614/CRAN.package.GWPR.light
Author: Chao Li ORCID iD [aut, cre], Shunsuke Managi ORCID iD [aut]
Maintainer: Chao Li <chaoli0394 at gmail.com>
BugReports: https://github.com/MichaelChaoLi-cpu/GWPR.light/issues
License: AGPL (≥ 3)
URL: https://github.com/MichaelChaoLi-cpu/GWPR.light
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: GWPR.light results

Documentation:

Reference manual: GWPR.light.html , GWPR.light.pdf
Vignettes: Getting Started with GWPR.light 1.0.0 (source, R code)
introduction_of_GWPR (source, R code)

Downloads:

Package source: GWPR.light_1.0.0.tar.gz
Windows binaries: r-devel: GWPR.light_1.0.0.zip, r-release: GWPR.light_1.0.0.zip, r-oldrel: GWPR.light_1.0.0.zip
macOS binaries: r-release (arm64): GWPR.light_1.0.0.tgz, r-oldrel (arm64): GWPR.light_1.0.0.tgz, r-release (x86_64): GWPR.light_1.0.0.tgz, r-oldrel (x86_64): GWPR.light_1.0.0.tgz
Old sources: GWPR.light archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.