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: 1.2.1
Depends: R (≥ 3.0.1)
Imports: doParallel, geosphere, sp, spgwr, glmnet, foreach, methods, stats
Published: 2018-05-03
Author: Daisuke Yoneoka, Eiko Saito
Maintainer: Daisuke Yoneoka <blue.sky.sea.dy at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: GWLelast results

Downloads:

Reference manual: GWLelast.pdf
Package source: GWLelast_1.2.1.tar.gz
Windows binaries: r-devel: GWLelast_1.2.1.zip, r-release: GWLelast_1.2.1.zip, r-oldrel: GWLelast_1.2.1.zip
OS X binaries: r-release: GWLelast_1.2.1.tgz, r-oldrel: GWLelast_1.2.1.tgz
Old sources: GWLelast archive

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