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:	1.3-6
Depends:	R (≥ 3.3.0), spData (≥ 2.3.1), Matrix, sf
Imports:	spdep (≥ 1.3-1), coda, methods, MASS, boot, splines, LearnBayes, nlme, multcomp
Suggests:	parallel, RSpectra, tmap, foreign, spam, knitr, lmtest, expm, sandwich, rmarkdown, igraph (≥ 2.0.0), tinytest
Published:	2024-12-02
DOI:	10.32614/CRAN.package.spatialreg
Author:	Roger Bivand [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 Parry [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.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_1.3-6.tar.gz
Windows binaries:	r-devel: spatialreg_1.3-6.zip, r-release: spatialreg_1.3-6.zip, r-oldrel: spatialreg_1.3-6.zip
macOS binaries:	r-release (arm64): spatialreg_1.3-6.tgz, r-oldrel (arm64): spatialreg_1.3-6.tgz, r-release (x86_64): spatialreg_1.3-6.tgz, r-oldrel (x86_64): spatialreg_1.3-6.tgz
Old sources:	spatialreg archive

Reverse dependencies:

Reverse depends:	lagsarlmtree, spatialprobit, SpatialRegimes, ssfa
Reverse imports:	bigDM, bispdep, FlexScan, GWmodel, pspatreg, SCDA, spANOVA, SpatialFeatureExperiment, sphet, spldv, splm, spsur
Reverse suggests:	broom, prabclus, spData, spdep
Reverse enhances:	MuMIn, texreg

Linking:

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