Package: spboost Type: Package Title: Gradient Boosting for Nonlinear Spatial Autoregressive Models Version: 0.7.0 Authors@R: person(given = "Ghislain", family = "Geniaux", role = c("aut", "cre"), email = "ghislain.geniaux@inrae.fr") Description: 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) . 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 Presented at Spatial Econometrics World Congress (SEA/SEW 2026, Paris), unpublished. License: GPL (>= 2) Depends: Matrix, mboost, mgcv, methods, mgwrsar Imports: Rcpp, sf, MASS, data.table, xgboost, caret, doParallel, foreach, nabor, earth Suggests: blockCV, knitr, rmarkdown, RSpectra, spatialreg, spdep, testthat (>= 3.0.0) VignetteBuilder: knitr Config/testthat/edition: 3 LinkingTo: RcppEigen, Rcpp RoxygenNote: 7.3.2 NeedsCompilation: yes Encoding: UTF-8 Packaged: 2026-11-01 08:03:36 UTC; root Author: Ghislain Geniaux [aut, cre] Maintainer: Ghislain Geniaux Config/pak/sysreqs: libabsl-dev cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev libgdal-dev gdal-bin libgeos-dev make libharfbuzz-dev libicu-dev libpng-dev libuv1-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev zlib1g-dev Repository: https://ggeniaux.r-universe.dev Date/Publication: 2026-06-08 18:00:02 UTC RemoteUrl: https://github.com/cran/spboost RemoteRef: HEAD RemoteSha: 2cff995d0727b37fe8b4813d14b33ad485c901c7