spboost: Gradient Boosting for Nonlinear Spatial Autoregressive Models

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 Presented at Spatial Econometrics World Congress (SEA/SEW 2026, Paris), unpublished.

Version:	0.7.0
Depends:	Matrix, mboost, mgcv, methods, mgwrsar
Imports:	Rcpp, sf, MASS, data.table, xgboost, caret, doParallel, foreach, nabor, earth
LinkingTo:	RcppEigen, Rcpp
Suggests:	blockCV, knitr, rmarkdown, RSpectra, spatialreg, spdep, testthat (≥ 3.0.0)
Published:	2026-06-08
DOI:	10.32614/CRAN.package.spboost
Author:	Ghislain Geniaux [aut, cre]
Maintainer:	Ghislain Geniaux <ghislain.geniaux at inrae.fr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	spboost results

Documentation:

Reference manual:	spboost.html , spboost.pdf
Vignettes:	spboost: Nonlinear Spatial Autoregressive Models with Boosting and CFE (source, R code)

Downloads:

Package source:	spboost_0.7.0.tar.gz
Windows binaries:	r-devel: spboost_0.7.0.zip, r-release: spboost_0.7.0.zip, r-oldrel: spboost_0.7.0.zip
macOS binaries:	r-release (arm64): spboost_0.7.0.tgz, r-oldrel (arm64): spboost_0.7.0.tgz, r-release (x86_64): spboost_0.7.0.tgz, r-oldrel (x86_64): spboost_0.7.0.tgz

Linking:

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