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spatialreg: Spatial Regression Analysis

A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) <doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras' (2015) <doi:10.18637/jss.v063.i18>; both of these articles include extensive lists of references. A recent review is provided by 'Bivand', 'Millo' and 'Piras' (2021) <doi:10.3390/math9111276>. 'spatialreg' >= 1.1-* corresponded to 'spdep' >= 1.1-1, in which the model fitting functions were deprecated and passed through to 'spatialreg', but masked those in 'spatialreg'. From versions 1.2-*, the functions have been made defunct in 'spdep'. From version 1.3-6, add Anselin-Kelejian (1997) test to 'stsls' for residual spatial autocorrelation <doi:10.1177/016001769702000109>.

Version:1.4-2
Depends:R (≥ 3.3),spData (≥ 2.3.1),Matrix,sf
Imports:spdep (≥ 1.4.1),coda, methods,MASS,boot, splines,LearnBayes,nlme,multcomp
Suggests:parallel,RSpectra,tmap,foreign,spam,knitr,lmtest,expm,sandwich,rmarkdown,igraph,tinytest,codingMatrices
Published:2025-09-06
DOI:10.32614/CRAN.package.spatialreg
Author:Roger BivandORCID iD [cre, aut], Gianfranco Piras [aut], Luc Anselin [ctb], Andrew Bernat [ctb], Eric Blankmeyer [ctb], Yongwan Chun [ctb], Virgilio Gómez-Rubio [ctb], Daniel Griffith [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], James LeSage [ctb], Angela Li [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Kelley Pace [ctb], Josiah ParryORCID iD [ctb], Pedro Peres-Neto [ctb], Tobias Rüttenauer [ctb], Mauricio Sarrias [ctb], JuanTomas Sayago [ctb], Michael Tiefelsdorf [ctb]
Maintainer:Roger Bivand <Roger.Bivand at nhh.no>
BugReports:https://github.com/r-spatial/spatialreg/issues/
License:GPL-2
URL:https://github.com/r-spatial/spatialreg/,https://r-spatial.github.io/spatialreg/
NeedsCompilation:yes
Citation:spatialreg citation info
Materials:NEWS
In views:Econometrics,Spatial
CRAN checks:spatialreg results

Documentation:

Reference manual:spatialreg.html ,spatialreg.pdf
Vignettes:Moran Eigenvectors (source,R code)
Spatial weights objects as sparse matrices and graphs (source,R code)
Introduction to the North Carolina SIDS data set (re-revised) (source,R code)

Downloads:

Package source: spatialreg_1.4-2.tar.gz
Windows binaries: r-devel:spatialreg_1.4-2.zip, r-release:spatialreg_1.4-2.zip, r-oldrel:spatialreg_1.4-2.zip
macOS binaries: r-release (arm64):spatialreg_1.4-2.tgz, r-oldrel (arm64):spatialreg_1.4-2.tgz, r-release (x86_64):spatialreg_1.4-2.tgz, r-oldrel (x86_64):spatialreg_1.4-2.tgz
Old sources: spatialreg archive

Reverse dependencies:

Reverse depends:lagsarlmtree,spatialprobit,spatialreg.hp,SpatialRegimes,ssfa
Reverse imports:alabaster.sfe,bigDM,bispdep,FlexScan,GWmodel,HSAR,latticeDensity,pspatreg,SCDA,spANOVA,SpatialFeatureExperiment,spdgp,sphet,spldv,splm,spqdep,spsur
Reverse suggests:broom,prabclus,spData,spdep
Reverse enhances:MuMIn,texreg

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=spatialregto link to this page.


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