Installation
About
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.
Citation | pspatreg citation info |
github.com/rominsal/pspatreg | |
Bug report | File report |
Key Metrics
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Last 365 days | 3.536 +7% |
Maintainer
Maintainer | Roman Minguez |
Depends
R | ≥ 4.2 |
methods | ≥ 4.2 |
stats | ≥ 4.2 |
graphics | ≥4.2 |