spsur: Spatial Seemingly Unrelated Regression Models

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) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Mur, J., Lopez, F., 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>.

Depends: R (≥ 3.4.0)
Imports: Formula (≥ 1.2.3), MASS (≥ 7.3.50), Matrix (≥ 1.2.14), methods (≥ 3.5.0), numDeriv (≥ 2016.8.1), minqa (≥ 1.2.4), sparseMVN (≥, spdep (≥ 0.7.9), stats (≥ 3.5.0)
Suggests: bookdown, knitr, rmarkdown, Rdpack
Published: 2019-03-23
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Maintainer: Roman Minguez <roman.minguez at uclm.es>
BugReports: http://github.com/rominsal/spsur/issues
License: GPL-3
URL: http://github.com/rominsal/spsur
NeedsCompilation: no
CRAN checks: spsur results


Reference manual: spsur.pdf
Vignettes: spsur: an R package for spatial seemingly unrelated regressions
Package source: spsur_1.0.0.3.tar.gz
Windows binaries: r-devel: spsur_1.0.0.3.zip, r-release: spsur_1.0.0.3.zip, r-oldrel: not available
OS X binaries: r-release: spsur_1.0.0.3.tgz, r-oldrel: not available
Old sources: spsur archive


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