Spatial Regression Analysis R package spatialreg version 1.4-3 CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) 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>. Software Depends: R (>= 3.3), spData (>= 2.3.1), Matrix, sf Imports: spdep (>= 1.4.1), coda, methods, mvtnorm, boot, splines, LearnBayes, nlme, multcomp, marginaleffects Suggests: parallel, RSpectra, tmap, foreign, spam, knitr, lmtest, expm, sandwich, rmarkdown, igraph, tinytest, codingMatrices Roger Bivand <Roger.Bivand@nhh.no> Comprehensive R Archive Network (CRAN) Roger Bivand [cre, aut] (ORCID: <https://orcid.org/0000-0003-2392-6140>, ROR: <https://ror.org/04v53s997>), Gianfranco Piras [aut], Luc Anselin [ctb] (ORCID: <https://orcid.org/0000-0003-1076-2220>), Andrew Bernat [ctb], Eric Blankmeyer [ctb], Yongwan Chun [ctb] (ORCID: <https://orcid.org/0000-0002-4957-1379>), Virgilio Gómez-Rubio [ctb] (ORCID: <https://orcid.org/0000-0002-4791-3072>), Daniel Griffith [ctb] (ORCID: <https://orcid.org/0000-0001-5125-6450>), Martin Gubri [ctb] (ORCID: <https://orcid.org/0000-0001-6744-6662>), Rein Halbersma [ctb], James LeSage [ctb], Angela Li [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb] (ORCID: <https://orcid.org/0000-0002-0140-6681>), Kelley Pace [ctb], Josiah Parry [ctb] (ORCID: <https://orcid.org/0000-0001-9910-865X>), Pedro Peres-Neto [ctb], Tobias Rüttenauer [ctb] (ORCID: <https://orcid.org/0000-0001-5747-9735>), Mauricio Sarrias [ctb], JuanTomas Sayago [ctb], Michael Tiefelsdorf [ctb] GPL-2 2026-03-21 application/tgz https://CRAN.R-project.org/package=spatialreg doi:10.32614/CRAN.package.spatialreg