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', 'sphet' and 'spse'. 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. 'spatialreg' >= 1.1-* correspond to 'spdep' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-*, the functions will be made defunct in 'spdep'.
| Version: | 1.1-5 |
| Depends: | R (≥ 3.3.0), spData, Matrix |
| Imports: | spdep, expm, coda, methods, MASS, boot, splines, LearnBayes, nlme, gmodels |
| Suggests: | parallel, RSpectra, sf, tmap, foreign, spam, knitr, lmtest, sandwich |
| Published: | 2019-12-01 |
| 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],
Jielai Ma [ctb],
Abhirup Mallik [ctb, trl],
Giovanni Millo [ctb],
Kelley Pace [ctb],
Pedro Peres-Neto [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 |
| In views: | Econometrics, Spatial |
| CRAN checks: | spatialreg results |
| Reference manual: | spatialreg.pdf |
| Vignettes: |
Moran Eigenvectors Introduction to the North Carolina SIDS data set (re-revised) |
| Package source: | spatialreg_1.1-5.tar.gz |
| Windows binaries: | r-devel: spatialreg_1.1-5.zip, r-release: spatialreg_1.1-5.zip, r-oldrel: spatialreg_1.1-5.zip |
| macOS binaries: | r-release: spatialreg_1.1-5.tgz, r-oldrel: spatialreg_1.1-5.tgz |
| Old sources: | spatialreg archive |
| Reverse depends: | GWmodel, lagsarlmtree |
| Reverse imports: | HSAR, latticeDensity, spANOVA, spsur |
| Reverse suggests: | broom, prabclus, spData, spdep |
| Reverse enhances: | MuMIn |
Please use the canonical form https://CRAN.R-project.org/package=spatialreg to link to this page.