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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: dplyr, ggplot2, ggside, glmnet, GWmodel, lifecycle, magrittr,
        methods, progress, rlang, sf, tidyr
NeedsCompilation: no
Packaged: 2026-10-08 08:34:25 UTC; root
Author: Matthieu Mulot [aut, cre, cph]
        (<https://orcid.org/0000-0002-8039-5078>), Sophie Erb [aut]
        (<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
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        make libicu-dev libssl-dev libproj-dev libsqlite3-dev
        libudunits2-dev
Repository: https://nibortolum.r-universe.dev
Date/Publication: 2025-09-26 15:57:19 UTC
RemoteUrl: https://github.com/nibortolum/gwlasso
RemoteRef: HEAD
RemoteSha: ed7fd6779f68e575e8d71a3808f8bc1a34f7f03d