mgwrsar: GWR and MGWR with Spatial Autocorrelation

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

Version: 1.0
Depends: R (≥ 3.5.0), Rcpp, sp, leaflet, Matrix
Imports: ggplot2, sf, knitr, spgwr, methods, doParallel, foreach, htmltools, nabor, qlcMatrix, mapview, microbenchmark, rlang
LinkingTo: RcppEigen, Rcpp
Published: 2022-05-05
Author: Ghislain Geniaux and Davide Martinetti
Maintainer: Ghislain Geniaux <ghislain.geniaux at inra.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mgwrsar citation info
Materials: NEWS
CRAN checks: mgwrsar results

Documentation:

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

Downloads:

Package source: mgwrsar_1.0.tar.gz
Windows binaries: r-devel: mgwrsar_1.0.zip, r-release: mgwrsar_1.0.zip, r-oldrel: mgwrsar_1.0.zip
macOS binaries: r-release (arm64): mgwrsar_1.0.tgz, r-oldrel (arm64): mgwrsar_1.0.tgz, r-release (x86_64): mgwrsar_1.0.tgz, r-oldrel (x86_64): mgwrsar_1.0.tgz
Old sources: mgwrsar archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mgwrsar to link to this page.