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spgwr: Geographically Weighted Regression

Functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.

Version: 0.6-37
Depends: R (≥ 2.14), sp (≥ 0.8-3), spData (≥ 2.3.1)
Imports: stats, methods
Suggests: spdep, parallel, sf, knitr, rmarkdown, tinytest
Published: 2024-06-10
DOI: 10.32614/CRAN.package.spgwr
Author: Roger Bivand ORCID iD [cre, aut], Danlin Yu ORCID iD [aut], Tomoki Nakaya [ctb], Miquel-Angel Garcia-Lopez [ctb]
Maintainer: Roger Bivand <Roger.Bivand at nhh.no>
BugReports: https://github.com/rsbivand/spgwr/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/rsbivand/spgwr/, https://rsbivand.github.io/spgwr/
NeedsCompilation: yes
Materials: NEWS ChangeLog
CRAN checks: spgwr results

Documentation:

Reference manual: spgwr.pdf
Vignettes: Geographically Weighted Regression

Downloads:

Package source: spgwr_0.6-37.tar.gz
Windows binaries: r-devel: spgwr_0.6-37.zip, r-release: spgwr_0.6-37.zip, r-oldrel: spgwr_0.6-37.zip
macOS binaries: r-release (arm64): spgwr_0.6-37.tgz, r-oldrel (arm64): spgwr_0.6-37.tgz, r-release (x86_64): spgwr_0.6-37.tgz, r-oldrel (x86_64): spgwr_0.6-37.tgz
Old sources: spgwr archive

Reverse dependencies:

Reverse imports: GWLelast, mgwrhw, mgwrsar, NSAE

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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