GWlasso: Geographically Weighted Lasso
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>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, ggplot2, ggside, glmnet, GWmodel, lifecycle, magrittr, methods, progress, rlang, sf, tidyr |
| Suggests: | knitr, maps, rmarkdown |
| Published: | 2025-09-26 |
| DOI: | 10.32614/CRAN.package.GWlasso |
| Author: | Matthieu Mulot 
[aut, cre, cph],
Sophie Erb [aut] |
| Maintainer: | Matthieu Mulot <matthieu.mulot at gmail.com> |
| BugReports: | https://github.com/nibortolum/GWlasso/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/nibortolum/GWlasso, https://nibortolum.github.io/GWlasso/ |
| NeedsCompilation: | no |
| Citation: | GWlasso citation info |
| Materials: | README, NEWS |
| CRAN checks: | GWlasso results |
Documentation:
| Reference manual: | GWlasso.html , GWlasso.pdf |
| Vignettes: |
example_analysis (source, R code) |
Downloads:
| Package source: | GWlasso_1.0.2.tar.gz |
| Windows binaries: | r-devel: GWlasso_1.0.2.zip, r-release: GWlasso_1.0.2.zip, r-oldrel: GWlasso_1.0.2.zip |
| macOS binaries: | r-release (arm64): GWlasso_1.0.2.tgz, r-oldrel (arm64): GWlasso_1.0.2.tgz, r-release (x86_64): GWlasso_1.0.2.tgz, r-oldrel (x86_64): GWlasso_1.0.2.tgz |
| Old sources: | GWlasso archive |
Linking:
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