CRAN/E | pspatreg

pspatreg

Spatial and Spatio-Temporal Semiparametric Regression Models with Spatial Lags

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

Version 1.1.2
R ≥ 4.2
Published 2023-10-06 369 days ago
Needs compilation? no
License GPL-3
CRAN checks pspatreg results

Downloads

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Maintainer

Maintainer

Roman Minguez

Authors

Roman Minguez

aut / cre

Roberto Basile

aut

Maria Durban

aut

Gonzalo Espana-Heredia

aut

Material

Reference manual
Package source

Vignettes

An introduction to pspatreg
Using pspatreg with cross-sectional data
Using pspatreg with spatial panel data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pspatreg archive

Depends

R ≥ 4.2
methods ≥ 4.2
stats ≥ 4.2
graphics ≥4.2

Imports

AmesHousing ≥ 0.0.4
dplyr ≥ 1.0.10
fields ≥ 14.1
ggplot2 ≥ 3.3.6
grDevices ≥ 4.1
MBA ≥ 0.0-9
MASS ≥ 7.3-54
minqa ≥ 1.2.5
Matrix ≥ 1.4-1
numDeriv ≥2016.8-1.1
plm ≥ 2.6-2
Rdpack ≥ 2.4
sf ≥ 1.0-8
spatialreg ≥ 1.2-6
spdep ≥ 1.2-7
splines ≥ 4.2.2
stringr ≥ 1.4.1

Suggests

knitr ≥ 1.40
rmarkdown ≥ 2.18