https://ggeniaux.r-universe.devRecent package updates in ggeniauxR-universehttps://github.com/ggeniaux.pnghttps://ggeniaux.r-universe.devMon, 08 Jun 2026 18:00:02 GMTghislain.geniaux@inrae.fr (Ghislain Geniaux)Flexible nonlinear extension of spatial autoregressive (SAR), spatial error (SEM), and spatial autoregressive with autoregressive disturbances (SARAR) models with multiple regression engines (generalized additive models ('mgcv'), gradient boosting ('mboost'), multivariate adaptive regression splines ('earth'), and 'xgboost') and two families of spatial-parameter estimators: maximum likelihood and the determinant-free Closed-Form Estimator of Smirnov (2020) <doi:10.1111/gean.12268>. See Geniaux G. (2026). "Flexible nonlinear spatial autoregressive models: a gradient boosting approach with closed-form estimation." Presented at Spatial Econometrics World Congress (SEA/SEW 2026, Paris), unpublished.https://github.com/r-universe/ggeniaux/actions/runs/27203260544Mon, 08 Jun 2026 18:00:02 GMTspboost0.7.0successhttps://ggeniaux.r-universe.devhttps://github.com/cran/spboostspboost-tutorial.Rmdspboost-tutorial.htmlspboost: Nonlinear Spatial Autoregressive Models with Boosting and CFE2026-06-08 18:00:022026-06-08 18:00:02ghislain.geniaux@inrae.fr (Ghislain Geniaux)Provides methods for Geographically Weighted Regression with spatial autocorrelation (Geniaux and Martinetti 2017) <doi:10.1016/j.regsciurbeco.2017.04.001>. Implements Multiscale Geographically Weighted Regression with Top-Down Scale approaches (Geniaux 2026) <doi:10.1007/s10109-025-00481-4>.https://github.com/r-universe/ggeniaux/actions/runs/26747136631Tue, 03 Mar 2026 08:50:02 GMTmgwrsar1.3.2successhttps://ggeniaux.r-universe.devhttps://github.com/cran/mgwrsarIntro_french_data.RmdIntro_french_data.htmlEstimating GWR and Mixed GWR Models with mgwrsar package: An Introduction with House Price Data2026-01-21 14:50:022026-01-21 14:50:02GWR-with-Space-Time-Kernels.RmdGWR-with-Space-Time-Kernels.htmlGWR and MGWR with Space-Time Kernels2026-01-21 14:50:022026-01-21 14:50:02GWR-and-Mixed-GWR-with-spatial-autocorrelation.RmdGWR-and-Mixed-GWR-with-spatial-autocorrelation.htmlGWR and Mixed GWR with spatial autocorrelation2026-01-21 14:50:022026-01-21 14:50:02Multiscale-GWR-using-top-down-scale-approach.RmdMultiscale-GWR-using-top-down-scale-approach.htmlMultiscale GWR using top down scale approaches2026-01-21 14:50:022026-03-03 08:50:02Speeding_up_GWR_like_models.RmdSpeeding_up_GWR_like_models.htmlSpeeding up GWR like models with mgwrsar package using Target Points, rough gaussian kernel and parallelisation2026-01-21 14:50:022026-01-21 14:50:02