Package: GWPR.light 1.0.0

Chao Li

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.

Authors:Chao Li [aut, cre], Shunsuke Managi [aut]

GWPR.light_1.0.0.tar.gz
GWPR.light_1.0.0.tar.gz(r-4.7-any)GWPR.light_1.0.0.tar.gz(r-4.6-any)
GWPR.light_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GWPR.light/json (API)
NEWS

# Install 'GWPR.light' in R:

install.packages('GWPR.light', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/michaelchaoli-cpu/gwpr.light/issues

Datasets:

California - California
TransAirPolCalif - Panel Dataset for Testing GWPR

On CRAN:

3.00 score 22 downloads 10 exports 84 dependencies

Last updated from:e1be29714d. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	153
source / vignettes	OK	211
linux-release-x86_64	OK	159
wasm-release	OK	152

Exports:diagnose_gwpr diagnose_hausman diagnose_lm diagnose_local_f diagnose_moran fit_gwpr gwpr parallel_map select_bandwidth with_reproducible_seed

Dependencies:backports bdsmatrix boot broom class classInt cli collapse colorspace cowplot cpp11 DBI Deriv digest doBy dplyr dreamerr e1071 farver fixest forecast Formula fracdiff generics ggplot2 glmmTMB glue gtable isoband KernSmooth labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix maxLik mgcv microbenchmark minqa miscTools modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig plm proxy purrr R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang s2 S7 sandwich scales sf stringi stringmagic stringr tibble tidyr tidyselect timeDate TMB units urca utf8 vctrs viridisLite withr wk zoo

Getting Started with GWPR.light 1.0.0

Rendered fromgwpr-introduction.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2026-05-29
Started: 2026-05-29

The Introduction of GWPR: from the Scratch

Rendered fromintroduction_of_GWPR.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2026-05-29
Started: 2021-10-12

Citation

Readme and manuals

Help Manual

Help page	Topics
Public API for GWPR.light 1.0.0	api
California (sf)	California
Run diagnostic tests on a fitted GWPR model	diagnose_gwpr
Local Hausman test diagnostic on a gwpr_fit object	diagnose_hausman
Local Breusch-Pagan LM test diagnostic on a gwpr_fit object	diagnose_lm
Local F test diagnostic on a gwpr_fit object	diagnose_local_f
Run Moran's I diagnostic on a gwpr_fit object	diagnose_moran
Diagnostics Module for GWPR.light 1.0.0	diagnostics
Fit GWPR with a given bandwidth	fit_gwpr
Fit a Geographically Weighted Panel Regression (main entry point)	gwpr
Metrics Module	metrics
Parallel Execution Module	parallel_module
Print a gwpr_bandwidth object	print.gwpr_bandwidth
Print a gwpr_diagnostics object	print.gwpr_diagnostics
Print a gwpr_fit object	print.gwpr_fit
Result Object Module for GWPR.light 1.0.0	result
Select an optimal bandwidth for GWPR	select_bandwidth
Summarise a gwpr_bandwidth object	summary.gwpr_bandwidth
Summarise a gwpr_diagnostics object	summary.gwpr_diagnostics
Summarise a gwpr_fit object	summary.gwpr_fit
Panel Dataset for Testing GWPR	TransAirPolCalif
Execute an expression with a reproducible seed	with_reproducible_seed