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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 [aut, cre], Philipp Piribauer [aut] |
Maintainer: | Tamas Krisztin <krisztin at iiasa.ac.at> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Language: | EN-US |
Materials: | README NEWS |
CRAN checks: | estimateW results |
Reference manual: | estimateW.pdf |
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 |
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