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 |
| 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.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 |
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