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GWPR.light  

Geographically Weighted Panel Regression
View on CRAN: Click here


Download and install GWPR.light package within the R console
Install from CRAN:
install.packages("GWPR.light")

Install from Github:
library("remotes")
install_github("cran/GWPR.light")

Install by package version:
library("remotes")
install_version("GWPR.light", "0.2.1")



Attach the package and use:
library("GWPR.light")
Maintained by
Chao Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-12
Latest Update: 2024-02-10
Description:
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).
How to cite:
Chao Li (2021). GWPR.light: Geographically Weighted Panel Regression. R package version 0.2.1, https://cran.r-project.org/web/packages/GWPR.light
Previous versions and publish date:
0.1.0 (2021-10-12 10:20), 0.1.1 (2021-10-18 11:10), 0.2.0 (2022-03-21 10:50), 0.2.1 (2022-06-21 13:00)
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