GWPR.light: Geographically Weighted Panel Regression

Geographically weighted panel regression is grounded in a branch of spatial statistics. Using geographically weights, the geographically weighted panel regression is try to solve the residuals from panel regression clustering spatially. To investigate whether the residuals cluster spatially, the Moran's I test is also improved. Furthermore, three local statistic tests are contained to help the users select model. The major references are Fotheringham et al. (2003, ISBN:978-0-470-85525-6) and Beenstock and Felsenstein (2019, ISBN:978-3-030-03614-0).

Version:	0.2.1
Depends:	R (≥ 2.10)
Imports:	data.table, doParallel, dplyr, foreach, GWmodel, iterators, lmtest, methods, parallel, plm, sp, stats
Suggests:	rmarkdown, knitr, rgeos, tmap
Published:	2022-06-21
Author:	Chao Li [aut, cre], Shunsuke Managi [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
CRAN checks:	GWPR.light results

Documentation:

Reference manual:	GWPR.light.pdf
Vignettes:	introduction_of_GWPR

Downloads:

Package source:	GWPR.light_0.2.1.tar.gz
Windows binaries:	r-devel: GWPR.light_0.2.1.zip, r-release: GWPR.light_0.2.1.zip, r-oldrel: GWPR.light_0.2.1.zip
macOS binaries:	r-release (arm64): GWPR.light_0.2.1.tgz, r-oldrel (arm64): GWPR.light_0.2.1.tgz, r-release (x86_64): GWPR.light_0.2.1.tgz, r-oldrel (x86_64): GWPR.light_0.2.1.tgz
Old sources:	GWPR.light archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GWPR.light to link to this page.