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GWLelast  

Geographically Weighted Logistic Elastic Net Regression
View on CRAN: Click here


Download and install GWLelast package within the R console
Install from CRAN:
install.packages("GWLelast")

Install from Github:
library("remotes")
install_github("cran/GWLelast")

Install by package version:
library("remotes")
install_version("GWLelast", "1.2.2")



Attach the package and use:
library("GWLelast")
Maintained by
Daisuke Yoneoka
[Scholar Profile | Author Map]
First Published: 2015-04-20
Latest Update: 2019-02-10
Description:
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 .
How to cite:
Daisuke Yoneoka (2015). GWLelast: Geographically Weighted Logistic Elastic Net Regression. R package version 1.2.2, https://cran.r-project.org/web/packages/GWLelast. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.0 (2015-04-20 14:25), 1.1 (2015-04-29 12:21), 1.2.1 (2018-05-04 00:18)
Other packages that cited GWLelast R package
View GWLelast citation profile
Other R packages that GWLelast depends, imports, suggests or enhances
Complete documentation for GWLelast
Functions, R codes and Examples using the GWLelast R package
Some associated functions: GWLelast.cv.bw . GWLelast.est . GWLelast.inner . GWLelast . GWLelast.sel.bw . 
Some associated R codes: GWLelast.R . GWLelast.cw.bw.R . GWLelast.est.R . GWLelast.inner.R . GWLelast.sel.bw.R .  Full GWLelast package functions and examples
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