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spatialreg
View on CRAN: Click
here
Download and install spatialreg package within the R console
Install from CRAN:
install.packages("spatialreg")
Install from Github:
library("remotes")
install_github("cran/spatialreg")
Install by package version:
library("remotes")
install_version("spatialreg", "1.3-6")
Attach the package and use:
library("spatialreg")
Maintained by
Roger Bivand
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.spatialreg . https://github.com/r-spatial/spatialreg/issues/ . https://github.com/r-spatial/spatialreg/ . https://r-spatial.github.io/spatialreg/ . spatialreg citation info . spatialreg results . spatialreg.pdf . spatialreg_1.3-6.tar.gz . spatialreg_1.3-6.zip . spatialreg_1.3-6.zip . spatialreg_1.3-6.zip . spatialreg_1.3-6.tgz . spatialreg_1.3-6.tgz . spatialreg_1.3-6.tgz . spatialreg_1.3-6.tgz . spatialreg_1.3-6.tgz . spatialreg_1.3-6.tgz . spatialreg archive . https://CRAN.R-project.org/package=spatialreg .
First Published: 2019-04-01
Latest Update: 2023-11-23
Description:
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'.
How to cite:
Roger Bivand (2019). spatialreg: Spatial Regression Analysis. R package version 1.3-6, https://cran.r-project.org/web/packages/spatialreg. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.1-3 (2019-04-01 20:00), 1.1-5 (2019-12-02 00:00), 1.1-8 (2021-05-03 16:00), 1.2-1 (2021-11-11 15:10), 1.2-3 (2022-04-18 17:20), 1.2-5 (2022-08-16 20:10), 1.2-6 (2022-10-07 18:10), 1.2-8 (2023-03-01 09:20), 1.2-9 (2023-05-25 17:10), 1.3-1 (2023-11-23 11:30), 1.3-2 (2024-02-06 14:30), 1.3-3 (2024-05-31 14:00), 1.3-4 (2024-06-10 15:30), 1.3-5 (2024-08-19 17:30)
Other packages that cited spatialreg R package
View spatialreg citation profile
Other R packages that spatialreg depends,
imports, suggests or enhances
Complete documentation for spatialreg
Functions, R codes and Examples using
the spatialreg R package
Some associated functions: GMerrorsar . MCMCsamp . ME . ML_models . SET_MCMC . SLX . SpatialFiltering . aple.mc . aple . aple.plot . do_ldet . eigenw . gstsls . impacts . invIrM . lagmess . lextrB . predict.sarlm . sarlm_tests . set.mcOption . set.spChkOption . similar.listw . sparse_mat . spautolm . stsls . trW .
Some associated R codes: AAA.R . ME.R . ML_models.R . SLX_WX.R . SpatialFiltering.R . aple.R . aple.mc.R . apleplot.R . cyclical.R . eigenw.R . impacts.R . jacobian.R . jacobian_setup.R . kpgm_new.R . lextrB.R . lextrW.R . mcmcsamp.R . mess.R . predict.sarlm.R . s2sls.R . sarlm_functions.R . sarlm_tests.R . spBreg.R . spChkOption.R . sparse_mat.R . spautolm.R . spautolm_functions.R . Full spatialreg package functions and examples
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