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spsur
View on CRAN: Click
here
Download and install spsur package within the R console
Install from CRAN:
install.packages("spsur")
Install from Github:
library("remotes")
install_github("cran/spsur")
Install by package version:
library("remotes")
install_version("spsur", "1.0.2.5")
Attach the package and use:
library("spsur")
Maintained by
Roman Minguez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.spsur . https://github.com/rominsal/spsur/issues . https://CRAN.R-project.org/package=spsur . spsur citation info . spsur results . spsur.pdf . spsur user guide . Maximum Likelihood estimation of Spatial Seemingly Unrelated Regression models. A short Monte Carlo exercise with spsur and spse . spsur vs spatialreg . Spatial seemingly unrelated regression models. A comparison of spsur, spse and PySAL . spsur_1.0.2.5.tar.gz . spsur_1.0.2.5.zip . spsur_1.0.2.5.zip . spsur_1.0.2.5.zip . spsur_1.0.2.5.tgz . spsur_1.0.2.5.tgz . spsur_1.0.2.5.tgz . spsur_1.0.2.5.tgz . spsur_1.0.2.5.tgz . spsur_1.0.2.5.tgz . spsur archive . https://CRAN.R-project.org/package=spsur .
First Published: 2019-03-15
Latest Update: 2022-10-29
Description:
A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Minguez, R., Lopez, F.A., and Mur, J. (2022) <doi:10.18637/jss.v104.i11> Mur, J., Lopez, F.A., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>.
How to cite:
Roman Minguez (2019). spsur: Spatial Seemingly Unrelated Regression Models. R package version 1.0.2.5, https://cran.r-project.org/web/packages/spsur. Accessed 31 Mar. 2025.
Previous versions and publish date:
1.0.0.2 (2019-03-15 18:20), 1.0.0.3 (2019-03-23 11:10), 1.0.0.4 (2019-12-12 23:20), 1.0.1.3 (2020-04-07 17:00), 1.0.1.4 (2020-07-31 03:00), 1.0.1.5 (2020-08-12 10:20), 1.0.1.6 (2020-09-17 12:50), 1.0.1.7 (2021-04-09 15:00), 1.0.1.8 (2021-04-18 18:10), 1.0.1.9 (2021-06-25 18:10), 1.0.2.0 (2021-11-12 14:10), 1.0.2.1 (2022-04-22 23:50), 1.0.2.2 (2022-08-20 14:50), 1.0.2.4 (2022-08-31 17:00)
Other packages that cited spsur R package
View spsur citation profile
Other R packages that spsur depends,
imports, suggests or enhances
Complete documentation for spsur
Functions, R codes and Examples using
the spsur R package
Some associated functions: NCOVR.sf . Wspc . dgp_spsur . impactspsur . lmtestspsur . lr_betas . methods_spsur . print.summary.spsur . spain.covid . spain.covid.sf . spc . spsur-package . spsur3sls . spsurgs3sls . spsurml . spsurtime . summary.spsur . wald_betas . wald_deltas .
Some associated R codes: LMSURquedaSEM.R . LMSURquedaSLM.R . LRSUR2_SARAR.R . SUR2_SARAR.R . X_restr.R . aux_functions.R . betas_restr.R . cov_spsur_f.R . datasets.R . demeaning.R . dgp_spSUR.R . f_surGRT_beta.R . fit_spsur.R . fit_spsur_3sls.R . get_data_spsur.R . impactspsur.R . llikspsur.R . lmtestspsur.R . lr_betas.R . methods_spsur.R . print.summary.spsur.R . spSUR-package.R . spsur3sls.R . spsurgs3sls.R . spsurml.R . spsurtime.R . summary.spsur.R . sur3_spdiag.R . wald_betas.R . wald_deltas.R . Full spsur package functions and examples
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