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), ; Rodriguez-Alvarez, M.X. et al. (2015) and, particularly referred to the focus of the package, Minguez, R., Basile, R. and Durban, M. (2020) .


Reference manual

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install.packages("pspatreg")

1.1.2 by Roman Minguez, 3 years ago


https://github.com/rominsal/pspatreg


Report a bug at https://github.com/rominsal/pspatreg/issues


Browse source code at https://github.com/cran/pspatreg


Authors: Roman Minguez [aut, cre] , Roberto Basile [aut] , Maria Durban [aut] , Gonzalo Espana-Heredia [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports AmesHousing, dplyr, fields, ggplot2, grDevices, MBA, MASS, minqa, Matrix, numDeriv, plm, Rdpack, sf, spatialreg, spdep, splines, stringr

Depends on methods, stats, graphics

Suggests knitr, rmarkdown


See at CRAN