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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'.

Version: 1.3-2
Depends: R (≥ 3.3.0), spData, 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, tinytest
Published: 2024-02-06
Author: Roger Bivand ORCID 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], 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
Spatial weights objects as sparse matrices and graphs
Introduction to the North Carolina SIDS data set (re-revised)

Downloads:

Package source: spatialreg_1.3-2.tar.gz
Windows binaries: r-devel: spatialreg_1.3-2.zip, r-release: spatialreg_1.3-2.zip, r-oldrel: spatialreg_1.3-2.zip
macOS binaries: r-release (arm64): spatialreg_1.3-2.tgz, r-oldrel (arm64): spatialreg_1.3-2.tgz, r-release (x86_64): spatialreg_1.3-2.tgz, r-oldrel (x86_64): spatialreg_1.3-2.tgz
Old sources: spatialreg archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spatialreg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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