{ "_id": "6a104bc2acfb0bcc41ca0055", "Package": "pspatreg", "Type": "Package", "Title": "Spatial and Spatio-Temporal Semiparametric Regression Models\nwith Spatial Lags", "Version": "1.0.4", "Date": "2022-07-04", "Authors@R": "c(person(\"Roman\", \"Minguez\", email = \"roman.minguez@uclm.es\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-0490-3181\")),\nperson(\"Roberto\", \"Basile\", email = \"roberto.basile@univaq.it\",\nrole = c(\"aut\"), comment = c(ORCID = \"0000-0002-4531-2820\")),\nperson(\"Maria\", \"Durban\", email = \"mdurban@est-econ.uc3m.es\",\nrole = c(\"aut\"), comment = c(ORCID = \"0000-0002-4272-7895\")),\nperson(\"Gonzalo\", \"Espana-Heredia\", email = \"gehllanza@gmail.com\",\nrole = c(\"aut\")))", "Maintainer": "Roman Minguez ", "Description": "Estimation and inference of spatial and spatio-temporal\nsemiparametric models including spatial or spatio-temporal\nnon-parametric trends, parametric and non-parametric covariates\nand, possibly, a spatial lag for the dependent variable and\ntemporal correlation in the noise. The spatio-temporal trend\ncan be decomposed in ANOVA way including main and interaction\nfunctional terms. Use of SAP algorithm to estimate the spatial\nor spatio-temporal trend and non-parametric covariates. The\nmethodology of these models can be found in next references\nBasile, R. et al. (2014), ;\nRodriguez-Alvarez, M.X. et al. (2015)\n and, particularly referred to\nthe focus of the package, Minguez, R., Basile, R. and Durban,\nM. 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