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
GWLelast_1.2.2.zip(r-4.7)GWLelast_1.2.2.zip(r-4.6)GWLelast_1.2.2.zip(r-4.5)
GWLelast_1.2.2.tgz(r-4.6-any)GWLelast_1.2.2.tgz(r-4.5-any)
GWLelast_1.2.2.tar.gz(r-4.7-any)GWLelast_1.2.2.tar.gz(r-4.6-any)
GWLelast_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GWLelast/json (API)

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

On CRAN:

Conda:

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

1.48 score 3 stars 1 scripts 204 downloads 1 mentions 4 exports 15 dependencies

Last updated from:8a8d696b77. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE119
source / vignettesOK166
linux-release-x86_64NOTE140
macos-release-arm64NOTE151
macos-oldrel-arm64NOTE178
windows-develNOTE95
windows-releaseNOTE95
windows-oldrelNOTE94
wasm-releaseOK116

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

Dependencies:codetoolsdoParallelforeachgeosphereglmnetiteratorslatticeMatrixRcppRcppEigenshapespspDataspgwrsurvival