Package: mgwrsar
Type: Package
Title: GWR, Mixed GWR with Spatial Autocorrelation and Multiscale
        GWR/GTWR (Top-Down Scale Approaches)
Version: 1.3.2
Date: 2026-03-02
Maintainer: Ghislain Geniaux <ghislain.geniaux@inrae.fr>
Description: Provides methods for Geographically Weighted Regression with spatial autocorrelation (Geniaux and Martinetti 2017) <doi:10.1016/j.regsciurbeco.2017.04.001>. Implements Multiscale Geographically Weighted Regression with Top-Down Scale approaches (Geniaux 2026) <doi:10.1007/s10109-025-00481-4>.
License: GPL (>= 2)
Depends: R (>= 3.5.0), sp, Matrix
Imports: Rcpp, ggplot2, sf, knitr, methods, doParallel, foreach, nabor,
        mapview, rlang, dplyr, gridExtra, grid, mboost, mgcv, caret,
        stringr, SMUT,plotly, RhpcBLASctl, magrittr, lifecycle
Suggests: rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppEigen, RcppArmadillo
Config/notCompileAttributes: true
RoxygenNote: 7.3.2
NeedsCompilation: yes
Encoding: UTF-8
SystemRequirements: C++17
Authors@R: c(person(given = "Ghislain",
                      family = "Geniaux",
                      role = c("aut", "cre"),
                      email = "ghislain.geniaux@inrae.fr"),
               person(given = "Davide",
                      family = "Martinetti",
                      role = "aut"),
               person(given = "César",
                      family = "Martinez",
                      role = "aut"))
Packaged: 2026-03-02 17:25:58 UTC; geniaux
Author: Ghislain Geniaux [aut, cre],
  Davide Martinetti [aut],
  César Martinez [aut]
Repository: CRAN
Date/Publication: 2026-03-03 08:50:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-05-21 15:33:20 UTC; windows
Archs: x64
