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 ORCID iD [aut, cre], Shunsuke Managi ORCID iD [aut]
Maintainer: Chao Li <chaoli0394 at>
License: AGPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: GWPR.light results


Reference manual: GWPR.light.pdf
Vignettes: introduction_of_GWPR


Package source: GWPR.light_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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