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mgwrsar
View on CRAN: Click
here
Download and install mgwrsar package within the R console
Install from CRAN:
install.packages("mgwrsar")
Install from Github:
library("remotes")
install_github("cran/mgwrsar")
Install by package version:
library("remotes")
install_version("mgwrsar", "1.1")
Attach the package and use:
library("mgwrsar")
Maintained by
Ghislain Geniaux
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mgwrsar . mgwrsar citation info . mgwrsar results . mgwrsar.pdf . Estimating GWR and Mixed GWR Models with mgwrsar package: An Introduction with House Price Data . Speeding up GWR like models with mgwrsar package using Target Points, rough gaussian kernel and parallelisation . mgwrsar_1.1.tar.gz . mgwrsar_1.1.zip . mgwrsar_1.1.zip . mgwrsar_1.1.zip . mgwrsar_1.1.tgz . mgwrsar_1.1.tgz . mgwrsar_1.1.tgz . mgwrsar_1.1.tgz . mgwrsar_1.1.tgz . mgwrsar_1.1.tgz . mgwrsar archive . https://CRAN.R-project.org/package=mgwrsar .
First Published: 2018-05-11
Latest Update: 2023-11-30
Description:
Functions for computing (Mixed) Geographically Weighted Regression with spatial autocorrelation, Geniaux and Martinetti (2017) .
How to cite:
Ghislain Geniaux (2018). mgwrsar: GWR, Mixed GWR and Multiscale GWR with Spatial Autocorrelation. R package version 1.1, https://cran.r-project.org/web/packages/mgwrsar. Accessed 05 Apr. 2025.
Previous versions and publish date:
Other packages that cited mgwrsar R package
View mgwrsar citation profile
Other R packages that mgwrsar depends,
imports, suggests or enhances
Complete documentation for mgwrsar
Functions, R codes and Examples using
the mgwrsar R package
Some associated functions: INST_C . MGWRSAR . PhWY_C . Proj_C . QRcpp2_C . Sl_C . bandwidths_mgwrsar . find_TP . int_prems . kernel_matW . mgwrsar_bootstrap_test . mgwrsar_bootstrap_test_all . multiscale_gwr.cv . multiscale_gwr . mydata . normW . plot_effect . plot_mgwrsar . predict_mgwrsar . simu_multiscale . summary_Matrix . summary_mgwrsar .
Some associated R codes: AICc.R . ApproxiW.R . ApproxiWv.R . BP_pred_MGWRSAR.R . BP_pred_SAR.R . GWR.R . INST_C.R . MGWR.R . MGWRSAR.R . PhWY_C.R . PhWY_R.R . Proj_C.R . QRcpp2_C.R . SSR.R . Sidak_cor_MGWR.R . Sl_C.R . Tf.R . aic_model.R . assign_control.R . bandwidths_MGWRSAR.R . bias_gwrsar.R . bisq.R . bisq_adapt_sorted.R . cell.R . comb.R . cv.multiscale_gwr.R . cv_h.R . data.R . epane.R . epane_adapt_sorted.R . equidistantGrid.R . fb.R . fill_DGPTAB.R . find_TP.R . gauss.R . gauss_adapt_sorted.R . golden_search_bandwidth.R . golden_search_bandwidth_AICc.R . gwr_beta.R . gwr_beta_glm.R . gwr_beta_glmboost.R . indice_aggreg.R . init_DGPTAB.R . insidecell.R . int_prems.R . kernel_matW.R . me_gwrsar.R . mgwr_stage1.R . mgwrsar_bootstrap_test.R . mgwrsar_bootstrap_test_all.R . mod.R . model_conf.R . multiscale_gwr.R . normW.R . plot.mgwrsar.R . plot_effect.R . predict.mgwrsar.R . prep_d.R . prep_var.R . prep_w.R . quadTP.R . quadtree.R . rectangle.R . rectangle_adapt_sorted.R . row_prod.R . sample_spat.R . shepard_smooth_16tg.R . sheppard.R . simu_multiscale.R . summary_Matrix.R . summary_mgwrsar.R . table_mgwrsar.R . tcub.R . tcub_adapt_sorted.R . tp.R . triangle.R . triangle_adapt_sorted.R . zzz.R . Full mgwrsar package functions and examples
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