Estimation of Spatial Autoregressive Models with and without Heteroskedastic Innovations R package sphet version 2.1-1 CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) CRAN Task View: SpatioTemporal (https://CRAN.R-project.org/view=SpatioTemporal) Functions for fitting Cliff-Ord-type spatial autoregressive models with and without heteroskedastic innovations using Generalized Method of Moments estimation are provided. Some support is available for fitting spatial HAC models, and for fitting with non-spatial endogeneous variables using instrumental variables. Software Depends: R (>= 3.0.1) Imports: nlme, spatialreg, spdep, Matrix, sp, methods, stats, utils, mvtnorm, stringr, coda, spData (>= 2.3.1), sf Gianfranco Piras <gpiras@mac.com> Comprehensive R Archive Network (CRAN) Gianfranco Piras [aut, cre] (ORCID: <https://orcid.org/0000-0003-0225-6061>), Roger Bivand [ctb] (ORCID: <https://orcid.org/0000-0003-2392-6140>) GPL-2 2024-12-06 application/tgz https://CRAN.R-project.org/package=sphet doi:10.32614/CRAN.package.sphet