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estimateW  

Estimation of Spatial Weight Matrices
View on CRAN: Click here


Download and install estimateW package within the R console
Install from CRAN:
install.packages("estimateW")

Install from Github:
library("remotes")
install_github("cran/estimateW")

Install by package version:
library("remotes")
install_version("estimateW", "0.2.0")



Attach the package and use:
library("estimateW")
Maintained by
Tamas Krisztin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-06
Latest Update: 2025-05-13
Description:
Bayesian estimation of spatial weight matrices in spatial econometric panel models. Allows for estimation of spatial autoregressive (SAR), spatial Durbin (SDM), and spatially lagged explanatory variable (SLX) type specifications featuring an unknown spatial weight matrix. Methodological details are given in Krisztin and Piribauer (2022) .
How to cite:
Tamas Krisztin (2022). estimateW: Estimation of Spatial Weight Matrices. R package version 0.2.0, https://cran.r-project.org/web/packages/estimateW. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:36), 0.0.1 (2022-12-06 14:30), 0.1.0 (2025-05-13 20:10)
Other packages that cited estimateW R package
View estimateW citation profile
Other R packages that estimateW depends, imports, suggests or enhances
Complete documentation for estimateW
Functions, R codes and Examples using the estimateW R package
Some associated functions: W_priors . W_sampler . bbinompdf . beta_priors . beta_sampler . betapdf . covid . logdetAinvUpdate . logdetPaceBarry . normalgamma . plot.estimateW . plot.sim_dgp . rho_priors . rho_sampler . sar . sarw . sdm . sdmw . sigma_priors . sigma_sampler . sim_dgp . slxw . 
Some associated R codes: R6_samplers.R . bbinompdf.R . betapdf.R . data.R . logdetAinvUpdate.R . logdetPaceBarry.R . ngamma.R . output.R . plotting.R . priors.R . sdmw.R . simulation.R . slxw.R .  Full estimateW package functions and examples
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