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 |
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