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pspatreg

Spatial and Spatio-Temporal Semiparametric Regression Models with Spatial Lags

Estimation and inference of spatial and spatio-temporal semiparametric models including spatial or spatio-temporal non-parametric trends, parametric and non-parametric covariates and, possibly, a spatial lag for the dependent variable and temporal correlation in the noise. The spatio-temporal trend can be decomposed in ANOVA way including main and interaction functional terms. Use of SAP algorithm to estimate the spatial or spatio-temporal trend and non-parametric covariates. The methodology of these models can be found in next references Basile, R. et al. (2014), <doi:10.1016/j.jedc.2014.06.011>; Rodriguez-Alvarez, M.X. et al. (2015) <doi:10.1007/s11222-014-9464-2> and, particularly referred to the focus of the package, Minguez, R., Basile, R. and Durban, M. (2020) <doi:10.1007/s10260-019-00492-8>.

Versions across snapshots

VersionRepositoryFileSize
1.1.2 rolling linux/jammy R-4.5 pspatreg_1.1.2.tar.gz 1.0 MiB
1.1.2 rolling linux/noble R-4.5 pspatreg_1.1.2.tar.gz 1.0 MiB
1.1.2 rolling source/ R- pspatreg_1.1.2.tar.gz 1.1 MiB
1.1.2 latest linux/jammy R-4.5 pspatreg_1.1.2.tar.gz 1.0 MiB
1.1.2 latest linux/noble R-4.5 pspatreg_1.1.2.tar.gz 1.0 MiB
1.1.2 latest source/ R- pspatreg_1.1.2.tar.gz 1.1 MiB
1.1.2 2026-04-26 source/ R- pspatreg_1.1.2.tar.gz 1.1 MiB
1.1.2 2026-04-23 source/ R- pspatreg_1.1.2.tar.gz 1.1 MiB
1.1.2 2026-04-09 windows/windows R-4.5 pspatreg_1.1.2.zip 1.0 MiB
1.1.2 2025-04-20 source/ R- pspatreg_1.1.2.tar.gz 1.1 MiB

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