mgwrsar: GWR and MGWR with Spatial Autocorrelation

Functions for computing (Mixed) Geographically Weighted Regression with spatial autocorrelation, Geniaux and Martinetti (2017) <doi:10.1016/j.regsciurbeco.2017.04.001>.

Version: 1.0.5
Depends: R (≥ 3.5.0), Rcpp, sp, leaflet, Matrix
Imports: ggplot2, sf, knitr, spgwr, methods, doParallel, foreach, htmltools, nabor, mapview, microbenchmark, rlang, dplyr, gridExtra, grid, mboost, mgcv, caret
LinkingTo: RcppEigen, Rcpp
Published: 2023-11-30
DOI: 10.32614/CRAN.package.mgwrsar
Author: Ghislain Geniaux and Davide Martinetti
Maintainer: Ghislain Geniaux <ghislain.geniaux at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mgwrsar citation info
Materials: NEWS
CRAN checks: mgwrsar results


Reference manual: mgwrsar.pdf
Vignettes: Speeding up GWR like models with mgwrsar package
Examples of basic uses of mgwrsar package


Package source: mgwrsar_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mgwrsar_1.0.5.tgz, r-oldrel (arm64): mgwrsar_1.0.5.tgz, r-release (x86_64): mgwrsar_1.0.5.tgz, r-oldrel (x86_64): mgwrsar_1.0.5.tgz
Old sources: mgwrsar archive


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