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: | 0.4.2 |
Depends: | R (≥ 2.7.0) |
Imports: | spdep, Rcpp |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | maptools , rgdal, rgeos, RColorBrewer, classInt, knitr |
Published: | 2017-10-18 |
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 |
In views: | Spatial |
CRAN checks: | HSAR results |
Reference manual: | HSAR.pdf |
Vignettes: |
Hierarchical Spatial Simultaneous Autoregressive Model (HSAR) |
Package source: | HSAR_0.4.2.tar.gz |
Windows binaries: | r-devel: HSAR_0.4.2.zip, r-release: HSAR_0.4.2.zip, r-oldrel: HSAR_0.4.2.zip |
OS X El Capitan binaries: | r-release: HSAR_0.4.2.tgz |
OS X Mavericks binaries: | r-oldrel: HSAR_0.4.2.tgz |
Old sources: | HSAR archive |
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