Spatial Seemingly Unrelated Regression Models R package spsur version 1.0.2.6 CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Minguez, R., Lopez, F.A., and Mur, J. (2022) <doi:10.18637/jss.v104.i11> Mur, J., Lopez, F.A., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>. Software Depends: R (>= 4.1), methods (>= 4.1), stats (>= 4.1) Imports: Formula (>= 1.2-5), ggplot2 (>= 3.5.2), gmodels (>= 2.19.1), gridExtra (>= 2.3), MASS (>= 7.3-65), Matrix (>= 1.4-1), minqa (>= 1.2.8), numDeriv (>= 2016.8-1.1), Rdpack (>= 2.6.4), rlang (>= 1.1.6), sparseMVN (>= 0.2.2), spatialreg (>= 1.3-6), spdep (>= 1.4-1), sphet(>= 2.1-1) Suggests: bookdown (>= 0.44), dplyr (>= 1.1.4), kableExtra (>= 1.4.0), knitr (>= 1.50), rmarkdown (>= 2.29), sf (>= 1.0-20) Roman Minguez <roman.minguez@uclm.es> Comprehensive R Archive Network (CRAN) Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut] GPL-3 2025-09-03 application/tgz https://CRAN.R-project.org/package=spsur doi:10.32614/CRAN.package.spsur