Package: spgwr 0.6-37

spgwr: Geographically Weighted Regression

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

Authors:Roger Bivand [cre, aut], Danlin Yu [aut], Tomoki Nakaya [ctb], Miquel-Angel Garcia-Lopez [ctb]

spgwr_0.6-37.tar.gz
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spgwr.pdf |spgwr.html✨
spgwr/json (API)
NEWS

# Install 'spgwr' in R:
install.packages('spgwr', repos = c('https://rsbivand.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rsbivand/spgwr/issues

Datasets:
  • gSRDF - Georgia census data set
  • gSRouter - Georgia census data set

On CRAN:

8.18 score 3 stars 4 packages 316 scripts 2.6k downloads 11 mentions 16 exports 3 dependencies

Last updated 5 months agofrom:2169f6b753. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:anova.gwrBFC02.gwr.testBFC99.gwr.testggwrggwr.selgw.adaptgw.covgwrgwr.bisquaregwr.Gaussgwr.morantestgwr.selgwr.tricubeLMZ.F1GWR.testLMZ.F2GWR.testLMZ.F3GWR.test

Dependencies:latticespspData

Geographically Weighted Regression

Roger Bivand

Rendered fromGWR.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2024-06-10
Started: 2023-06-13