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>.
Version: 1.1.2 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) Published: 2023-10-06 DOI: 10.32614/CRAN.package.pspatreg Author: Roman Minguez [aut, cre], Roberto Basile [aut], Maria Durban [aut], Gonzalo Espana-Heredia [aut] Maintainer: Roman Minguez <roman.minguez at uclm.es> BugReports: https://github.com/rominsal/pspatreg/issues License: GPL-3 URL: https://github.com/rominsal/pspatreg NeedsCompilation: no Citation: pspatreg citation info CRAN checks: pspatreg results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pspatreg to link to this page.
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