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estimateW
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", "0.1.0") Attach the package and use:
library("estimateW")
Maintained by
Tamas Krisztin
[Scholar Profile | Author Map]
[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 0.1.0, https://cran.r-project.org/web/packages/estimateW. Accessed 05 Jun. 2026.
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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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