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HSAR: Hierarchical Spatial Autoregressive Model
A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian Markov Chain Monte Carlo (MCMC) algorithm (Dong and Harris (2014) <doi:10.1111/gean.12049>). The creation of this package was supported by the Economic and Social Research Council (ESRC) through the Applied Quantitative Methods Network: Phase II, grant number ES/K006460/1.
| Version: |
0.6.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
spdep, spatialreg, stats |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
knitr, Matrix, RColorBrewer, Rcpp, RcppArmadillo, rmarkdown, sdsfun, sf, tidyverse |
| Published: |
2024-12-23 |
| DOI: |
10.32614/CRAN.package.HSAR |
| Author: |
Guanpeng Dong 
[aut, cph],
Wenbo Lv [aut,
cre],
Richard Harris [aut],
Angelos Mimis [aut] |
| Maintainer: |
Wenbo Lv <lyu.geosocial at gmail.com> |
| BugReports: |
https://github.com/spatlyu/HSAR/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://spatlyu.github.io/HSAR/, https://github.com/spatlyu/HSAR |
| NeedsCompilation: |
yes |
| Citation: |
HSAR citation info |
| Materials: |
README NEWS |
| CRAN checks: |
HSAR results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=HSAR
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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.
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