CRAN/E | GWPR.light

GWPR.light

Geographically Weighted Panel Regression

Installation

About

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).

github.com/MichaelChaoLi-cpu/GWPR.light
Bug report File report

Key Metrics

Version 0.2.1
R ≥ 2.10
Published 2022-06-21 677 days ago
Needs compilation? no
License AGPL (≥ 3)
CRAN checks GWPR.light results

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Maintainer

Maintainer

Chao Li

chaoli0394@gmail.com

Authors

Chao Li

aut / cre

Shunsuke Managi

aut

Material

README
Reference manual
Package source

Vignettes

introduction_of_GWPR

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GWPR.light archive

Depends

R ≥ 2.10

Imports

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

Suggests

rmarkdown
knitr
rgeos
tmap