# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "GWlasso" in publications use:' type: software license: MIT title: 'GWlasso: Geographically Weighted Lasso' version: 1.0.1 doi: 10.32614/CRAN.package.GWlasso abstract: 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) . authors: - family-names: Mulot given-names: Matthieu email: matthieu.mulot@gmail.com orcid: https://orcid.org/0000-0002-8039-5078 - family-names: Erb given-names: Sophie orcid: https://orcid.org/0000-0002-0700-283X repository: https://CRAN.R-project.org/package=GWlasso repository-code: https://github.com/nibortolum/GWlasso url: https://nibortolum.github.io/GWlasso/ date-released: '2024-11-22' contact: - family-names: Mulot given-names: Matthieu email: matthieu.mulot@gmail.com orcid: https://orcid.org/0000-0002-8039-5078