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).


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("GWPR.light")

0.1.1 by Chao Li, 3 days ago


https://github.com/MichaelChaoLi-cpu/GWPR.light


Report a bug at https://github.com/MichaelChaoLi-cpu/GWPR.light/issues


Browse source code at https://github.com/cran/GWPR.light


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


Documentation:   PDF Manual  


AGPL (>= 3) license


Imports data.table, doParallel, dplyr, foreach, GWmodel, iterators, lmtest, methods, parallel, plm, sp, stats

Suggests rmarkdown, knitr, rgeos, tmap


See at CRAN