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estimateW: Estimation of Spatial Weight Matrices

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) <doi:10.1080/17421772.2022.2095426>.

Version: 0.0.1
Depends: R (≥ 3.5.0)
Imports: Matrix, matrixcalc, plot.matrix, stats, R6
Published: 2022-12-06
DOI: 10.32614/CRAN.package.estimateW
Author: Tamas Krisztin ORCID iD [aut, cre], Philipp Piribauer ORCID iD [aut]
Maintainer: Tamas Krisztin <krisztin at iiasa.ac.at>
License: GPL (≥ 3)
NeedsCompilation: no
Language: EN-US
Materials: README NEWS
CRAN checks: estimateW results

Documentation:

Reference manual: estimateW.pdf

Downloads:

Package source: estimateW_0.0.1.tar.gz
Windows binaries: r-devel: estimateW_0.0.1.zip, r-release: estimateW_0.0.1.zip, r-oldrel: estimateW_0.0.1.zip
macOS binaries: r-release (arm64): estimateW_0.0.1.tgz, r-oldrel (arm64): estimateW_0.0.1.tgz, r-release (x86_64): estimateW_0.0.1.tgz, r-oldrel (x86_64): estimateW_0.0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.