Pspatreg: R Package for Semiparametric Spatial Autoregressive Models

被引:2
作者
Minguez, Roman [1 ]
Basile, Roberto [2 ]
Durban, Maria [3 ]
机构
[1] Univ Castilla La Mancha, Ave Alfares 44, Cuenca 16071, Spain
[2] Univ Rome Sapienza, I-00185 Rome, Italy
[3] Carlos III Univ Madrid, Madrid 28903, Spain
关键词
semiparametric regression; spatial econometrics; P-splines; GEOGRAPHICALLY WEIGHTED REGRESSION; PANEL-DATA MODELS; HETEROGENEITY; DEPENDENCE; SPLINES;
D O I
10.3390/math12223598
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This article introduces the R package pspatreg, which is publicly available for download from the Comprehensive R Archive Network, for estimating semiparametric spatial econometric penalized spline (P-Spline) models. These models can incorporate a nonparametric spatiotemporal trend, a spatial lag of the dependent variable, independent variables, noise, and time-series autoregressive noise. The primary functions in this package cover the estimation of P-Spline spatial econometric models using either Restricted Maximum Likelihood (REML) or Maximum Likelihood (ML) methods, as well as the computation of marginal impacts for both parametric and nonparametric terms. Additionally, the package offers methods for the graphical display of estimated nonlinear functions and spatial or spatiotemporal trend maps. Applications to cross-sectional and panel spatial data are provided to illustrate the package's functionality.
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页数:27
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