Package: pspatreg 1.0.4

pspatreg: 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), <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>.

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

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pspatreg.pdf |pspatreg.html
pspatreg/json (API)

# Install 'pspatreg' in R:
install.packages('pspatreg', repos = c('https://rominsal.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rominsal/pspatreg/issues

Datasets:
  • Wsp_it - Spatial weight matrix for Italian provinces
  • map_it - Map of Italian provinces
  • unemp_it - Regional unemployment rates Italian provinces

On CRAN:

6.41 score 11 stars 77 scripts 249 downloads 11 exports 78 dependencies

Last updated 2 years agofrom:f57816def6. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-winERROROct 24 2024
R-4.5-linuxERROROct 24 2024
R-4.4-winERROROct 24 2024
R-4.4-macERROROct 24 2024
R-4.3-winERROROct 24 2024
R-4.3-macERROROct 24 2024

Exports:fit_termsimpactsnoparimpactsparplot_impactsnoparplot_sp2dplot_sp3dplot_sptimeplot_termspspatfitpsplpspt

Dependencies:AmesHousingbdsmatrixBHbootclassclassIntclicodacodetoolscollapsecolorspaceDBIdeldirdigestdotCall64dplyre1071fansifarverfieldsFormulagenericsggplot2gluegtableisobandKernSmoothlabelinglatticeLearnBayeslifecyclelmtestmagrittrmapsMASSMatrixmaxLikMBAmgcvminqamiscToolsmultcompmunsellmvtnormnlmenumDerivpillarpkgconfigplmproxyR6rbibutilsRColorBrewerRcppRdpackrlangs2sandwichscalessfspspamspatialregspDataspdepstringistringrsurvivalTH.datatibbletidyselectunitsutf8vctrsviridisLitewithrwkzoo

An introduction to pspatreg

Rendered fromA_pspatregPackage.Rmdusingknitr::rmarkdownon Oct 24 2024.

Last update: 2022-04-08
Started: 2022-03-02

Using pspatreg with cross-sectional data

Rendered fromB_Examples_pspatreg_CS_data.Rmdusingknitr::rmarkdownon Oct 24 2024.

Last update: 2022-06-07
Started: 2022-03-23

Using pspatreg with spatial panel data

Rendered fromC_Examples_pspatreg_Panel_data.Rmdusingknitr::rmarkdownon Oct 24 2024.

Last update: 2022-06-07
Started: 2022-04-06

Readme and manuals

Help Manual

Help pageTopics
Compute terms of the non-parametric covariates in the semiparametric regression models.fit_terms
Compute direct, indirect and total impacts functions for continous non-parametric covariates in semiparametric spatial regression models.impactsnopar
Compute direct, indirect and total impacts for continous parametric covariates.impactspar
Spatial weight matrix for Italian provinceslwsp_it
map of Italian provincesmap_it
Methods for class pspatreganova anova.pspatreg coef coef.pspatreg fitted fitted.pspatreg logLik logLik.pspatreg methods_pspatreg print print.pspatreg residuals residuals.pspatreg vcov vcov.pspatreg
Plot direct, indirect and total impacts functions for continous non-parametric covariates in semiparametric spatial regression models.plot_impactsnopar
Plot and mapping spatial trends.plot_sp2d
Plot and mapping spatio-temporal trends.plot_sp3d
Plot of time trends for spatio-temporal models in 3d.plot_sptime
Plot terms of the non-parametric covariates in the semiparametric regression models.plot_terms
Print method for objects of class summary.impactspar.pspatregprint.summary.impactspar.pspatreg
Print method for objects of class summary.pspatreg.print.summary.pspatreg
Productivity growth and internal net migration - Italian provincesprod_it
Estimate spatial or spatio-temporal semiparametric regression models from a spatial econometric perspective.pspatfit
pspatreg: A package to estimate and make inference for spatial and spatio-temporal econometric regression modelspspatreg
Functions to include non-parametric continous covariates and spatial or spatio-temporal trends in semiparametric regression models.pspl pspl_terms pspt
Summary method for object of class impactspar.pspatreg.summary.impactspar.pspatreg
Summary method for objects of class pspatreg.summary.pspatreg
Regional unemployment rates Italian provincesunemp_it
Spatial weight matrix for Italian provincesWsp_it