MichaelChaoLi-cpu/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).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Chao Li [aut, cre] (<https://orcid.org/0000-0002-6854-4456>), Shunsuke Managi [aut] (<https://orcid.org/0000-0001-7883-1427>) |
| Maintainer | Chao Li <chaoli0394@gmail.com> |
| License | AGPL (>= 3) |
| Version | 0.2.1 |
| URL | https://github.com/MichaelChaoLi-cpu/GWPR.light |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
