Package: GWlasso
Title: Geographically Weighted Lasso
Version: 1.0.2
Authors@R: 
    c(person("Matthieu", "Mulot", , email="matthieu.mulot@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-8039-5078")),
           person("Sophie", "Erb", role = c("aut"),
           comment = c(ORCID = "0000-0002-0700-283X"))
           )
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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: dplyr, ggplot2, ggside, glmnet, GWmodel, lifecycle, magrittr,
        methods, progress, rlang, sf, tidyr
NeedsCompilation: no
Packaged: 2025-09-26 16:00:49 UTC; nibor
Author: Matthieu Mulot [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-8039-5078>),
  Sophie Erb [aut] (ORCID: <https://orcid.org/0000-0002-0700-283X>)
Maintainer: Matthieu Mulot <matthieu.mulot@gmail.com>
Suggests: knitr, maps, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/nibortolum/GWlasso,
        https://nibortolum.github.io/GWlasso/
BugReports: https://github.com/nibortolum/GWlasso/issues
Repository: CRAN
Date/Publication: 2025-09-26 16:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 18:52:12 UTC; unix
