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>.
Package details |
|
---|---|
Author | Roman Minguez [aut, cre] (<https://orcid.org/0000-0002-0490-3181>), Roberto Basile [aut] (<https://orcid.org/0000-0002-4531-2820>), Maria Durban [aut] (<https://orcid.org/0000-0002-4272-7895>), Gonzalo Espana-Heredia [aut] |
Maintainer | Roman Minguez <roman.minguez@uclm.es> |
License | GPL-3 |
Version | 1.1.2 |
URL | https://github.com/rominsal/pspatreg |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.