_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-mgwrsar 1.3.2
Propagated dependencies: r-stringr@1.6.0 r-sp@2.2-1 r-smut@1.1 r-sf@1.1-1 r-rlang@1.2.0 r-rhpcblasctl@0.23-42 r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-plotly@4.12.0 r-nabor@0.5.0 r-mgcv@1.9-4 r-mboost@2.9-11 r-matrix@1.7-5 r-mapview@2.11.4 r-magrittr@2.0.5 r-lifecycle@1.0.5 r-knitr@1.51 r-gridextra@2.3 r-ggplot2@4.0.3 r-foreach@1.5.2 r-dplyr@1.2.1 r-doparallel@1.0.17 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mgwrsar
Licenses: GPL 2+
Build system: r
Synopsis: GWR, Mixed GWR with Spatial Autocorrelation and Multiscale GWR/GTWR (Top-Down Scale Approaches)
Description:

This package 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>.

Total packages: 1