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Pspatreg: R Package for Semiparametric Spatial Autoregressive Models

Author

Listed:
  • Román Mínguez

    (University of Castilla-La Mancha, Av. de los Alfares, 44, 16002 Cuenca, Spain)

  • Roberto Basile

    (University of Rome Sapienza, 00185 Rome, Italy)

  • María Durbán

    (Carlos III University of Madrid, 28903 Madrid, Spain)

Abstract

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.

Suggested Citation

  • Román Mínguez & Roberto Basile & María Durbán, 2024. "Pspatreg: R Package for Semiparametric Spatial Autoregressive Models," Mathematics, MDPI, vol. 12(22), pages 1-27, November.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:22:p:3598-:d:1522963
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    References listed on IDEAS

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