Package: scgwr 0.1.2-21

scgwr: Scalable Geographically Weighted Regression

Fast and regularized version of GWR for large dataset, detailed in Murakami, Tsutsumida, Yoshida, Nakaya, and Lu (2019) <arxiv:1905.00266>.

Authors:Daisuke Murakami[cre,aut], Narumasa Tsutsumida[ctb], Takahiro Yoshida[ctb], Tomoki Nakaya[ctb], Lu Binbin[ctb]

scgwr_0.1.2-21.tar.gz
scgwr_0.1.2-21.zip(r-4.5)scgwr_0.1.2-21.zip(r-4.4)scgwr_0.1.2-21.zip(r-4.3)
scgwr_0.1.2-21.tgz(r-4.4-any)scgwr_0.1.2-21.tgz(r-4.3-any)
scgwr_0.1.2-21.tar.gz(r-4.5-noble)scgwr_0.1.2-21.tar.gz(r-4.4-noble)
scgwr_0.1.2-21.tgz(r-4.4-emscripten)scgwr_0.1.2-21.tgz(r-4.3-emscripten)
scgwr.pdf |scgwr.html
scgwr/json (API)

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 1 stars 0.09 score 21 dependencies 4 scripts 208 downloads

Last updated 3 years agofrom:ba05215538. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:predict0scgwrscgwr_p

Dependencies:clidplyrfansiFNNgenericsgluelatticelifecyclemagrittroptimParallelpillarpkgconfigR6rlangspspDatatibbletidyselectutf8vctrswithr