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GWlasso  

Geographically Weighted Lasso
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GWlasso", "1.0.1")



Attach the package and use:
library("GWlasso")
Maintained by
Matthieu Mulot
[Scholar Profile | Author Map]
First Published: 2024-11-22
Latest Update: 2024-11-22
Description:
Performs geographically weighted Lasso regressions. Find optimal bandwidth, fit a geographically weighted lasso or ridge regression, and make predictions. These methods are specially well suited for ecological inferences. Bandwidth selection algorithm is from A. Comber and P. Harris (2018) <doi:10.1007/s10109-018-0280-7>.
How to cite:
Matthieu Mulot (2024). GWlasso: Geographically Weighted Lasso. R package version 1.0.1, https://cran.r-project.org/web/packages/GWlasso. Accessed 05 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited GWlasso R package
View GWlasso citation profile
Other R packages that GWlasso depends, imports, suggests or enhances
Complete documentation for GWlasso
Functions, R codes and Examples using the GWlasso R package
Full GWlasso package functions and examples
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