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>.
| Version: |
1.3.2 |
| 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 |
| LinkingTo: |
Rcpp, RcppEigen, RcppArmadillo |
| Suggests: |
rmarkdown |
| Published: |
2026-03-03 |
| DOI: |
10.32614/CRAN.package.mgwrsar |
| Author: |
Ghislain Geniaux [aut, cre],
Davide Martinetti [aut],
César Martinez [aut] |
| Maintainer: |
Ghislain Geniaux <ghislain.geniaux at inrae.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++17 |
| Citation: |
mgwrsar citation info |
| Materials: |
NEWS |
| CRAN checks: |
mgwrsar results |