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>.

Version: 1.2.2
Depends: R (≥ 3.0.1)
Imports: doParallel, geosphere, sp, spgwr, glmnet, foreach, methods, stats
Published: 2019-02-10
DOI: 10.32614/CRAN.package.GWLelast
Author: Daisuke Yoneoka, Eiko Saito
Maintainer: Daisuke Yoneoka < at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: GWLelast results


Reference manual: GWLelast.pdf


Package source: GWLelast_1.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GWLelast_1.2.2.tgz, r-oldrel (arm64): GWLelast_1.2.2.tgz, r-release (x86_64): GWLelast_1.2.2.tgz, r-oldrel (x86_64): GWLelast_1.2.2.tgz
Old sources: GWLelast archive


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