mgwrsar: GWR, Mixed GWR and Multiscale GWR with Spatial Autocorrelation

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

Version:	1.1
Depends:	R (≥ 3.5.0), Rcpp, sp, leaflet, Matrix
Imports:	ggplot2, sf, knitr, methods, doParallel, foreach, htmltools, nabor, mapview, microbenchmark, rlang, dplyr, gridExtra, grid, mboost, mgcv, caret, stringr, SMUT
LinkingTo:	RcppEigen, Rcpp
Suggests:	R.rsp
Published:	2025-02-20
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
Citation:	mgwrsar citation info
Materials:	NEWS
CRAN checks:	mgwrsar results

Documentation:

Reference manual:	mgwrsar.pdf
Vignettes:	GWR and Mixed GWR with spatial autocorrelation (source) GWR and MGWR with Space-Time Kernels (source) Estimating GWR and Mixed GWR Models with mgwrsar package: An Introduction with House Price Data (source) Multiscale GWR using top down scale approaches (source) Speeding up GWR like models with mgwrsar package using Target Points, rough gaussian kernel and parallelisation (source)

Downloads:

Package source:	mgwrsar_1.1.tar.gz
Windows binaries:	r-devel: mgwrsar_1.1.zip, r-release: mgwrsar_1.1.zip, r-oldrel: mgwrsar_1.1.zip
macOS binaries:	r-release (arm64): mgwrsar_1.1.tgz, r-oldrel (arm64): mgwrsar_1.1.tgz, r-release (x86_64): mgwrsar_1.1.tgz, r-oldrel (x86_64): mgwrsar_1.1.tgz
Old sources:	mgwrsar archive

Linking:

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