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 inrae.fr> |
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: mgwrsar_1.0.5.zip, r-release: mgwrsar_1.0.5.zip, r-oldrel: mgwrsar_1.0.5.zip |
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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