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: | 0.5.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | spdep, spatialreg, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | sf, tidyverse, sp, maptools , rgdal, rgeos, RColorBrewer, classInt, markdown, knitr |
| Published: | 2020-06-27 |
| Author: | Guanpeng Dong, Richard Harris, Angelos Mimis |
| Maintainer: | Angelos Mimis <mimis at panteion.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | HSAR citation info |
| Materials: | NEWS |
| CRAN checks: | HSAR results |
| Reference manual: | HSAR.pdf |
| Vignettes: |
Application of HSAR for propety prices Hierarchical Spatial Simultaneous Autoregressive Model (HSAR) |
| Package source: | HSAR_0.5.1.tar.gz |
| Windows binaries: | r-devel: HSAR_0.5.1.zip, r-release: HSAR_0.5.1.zip, r-oldrel: HSAR_0.5.1.zip |
| macOS binaries: | r-release: HSAR_0.5.1.tgz, r-oldrel: HSAR_0.5.1.tgz |
| Old sources: | HSAR archive |
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