Spatial and Spatio-Temporal Semiparametric Regression Models with Spatial Lags R package pspatreg version 1.1.2 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>. Software Depends: R (>= 4.2), methods (>= 4.2), stats (>= 4.2), graphics (>= 4.2) Imports: AmesHousing (>= 0.0.4), dplyr (>= 1.0.10), fields (>= 14.1), ggplot2 (>= 3.3.6), grDevices (>= 4.1), MBA (>= 0.0-9), MASS (>= 7.3-54), minqa (>= 1.2.5), Matrix (>= 1.4-1), numDeriv (>= 2016.8-1.1), plm (>= 2.6-2), Rdpack (>= 2.4), sf (>= 1.0-8), spatialreg (>= 1.2-6), spdep (>= 1.2-7), splines (>= 4.2.2), stringr (>= 1.4.1) Suggests: knitr (>= 1.40), rmarkdown (>= 2.18) Roman Minguez <roman.minguez@uclm.es> Comprehensive R Archive Network (CRAN) Roman Minguez [aut, cre] (ORCID: <https://orcid.org/0000-0002-0490-3181>), Roberto Basile [aut] (ORCID: <https://orcid.org/0000-0002-4531-2820>), Maria Durban [aut] (ORCID: <https://orcid.org/0000-0002-4272-7895>), Gonzalo Espana-Heredia [aut] GPL-3 2023-10-06 application/tgz https://CRAN.R-project.org/package=pspatreg doi:10.32614/CRAN.package.pspatreg