Package: GWLelast 1.2.2

GWLelast: Geographically Weighted Logistic Elastic Net Regression

Fit a geographically weighted logistic elastic net regression. Detailed explanations can be found in Yoneoka et al. (2016): New algorithm for constructing area-based index with geographical heterogeneities and variable selection: An application to gastric cancer screening <doi:10.1038/srep26582>.

Authors:Daisuke Yoneoka, Eiko Saito

GWLelast_1.2.2.tar.gz
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GWLelast_1.2.2.tgz(r-4.4-any)GWLelast_1.2.2.tgz(r-4.3-any)
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GWLelast.pdf |GWLelast.html
GWLelast/json (API)

# Install 'GWLelast' in R:
install.packages('GWLelast', repos = c('https://kingqwert.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.

4 exports 3 stars 0.71 score 15 dependencies 1 mentions 1 scripts 192 downloads

Last updated 6 years agofrom:8a8d696b77. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winNOTESep 02 2024
R-4.5-linuxNOTESep 02 2024
R-4.4-winNOTESep 02 2024
R-4.4-macNOTESep 02 2024
R-4.3-winNOTESep 02 2024
R-4.3-macNOTESep 02 2024

Exports:GWLelast.cv.bwGWLelast.estGWLelast.innerGWLelast.sel.bw

Dependencies:codetoolsdoParallelforeachgeosphereglmnetiteratorslatticeMatrixRcppRcppEigenshapespspDataspgwrsurvival