Geographically Weighted Lasso R package GWlasso version 1.0.2 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>. Software Depends: R (>= 3.5.0) Imports: dplyr, ggplot2, ggside, glmnet, GWmodel, lifecycle, magrittr, methods, progress, rlang, sf, tidyr Suggests: knitr, maps, rmarkdown Matthieu Mulot <matthieu.mulot@gmail.com> Comprehensive R Archive Network (CRAN) Matthieu Mulot [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-8039-5078>), Sophie Erb [aut] (ORCID: <https://orcid.org/0000-0002-0700-283X>) MIT + file LICENSE (https://CRAN.R-project.org/package=GWlasso/LICENSE) 2025-09-26 application/tgz https://CRAN.R-project.org/package=GWlasso doi:10.32614/CRAN.package.GWlasso