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: 0.4.2
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

Downloads:

Reference manual: HSAR.pdf
Vignettes: Hierarchical Spatial Simultaneous Autoregressive Model (HSAR)
Package source: HSAR_0.4.2.tar.gz
Windows binaries: r-prerel: HSAR_0.4.2.zip, r-release: HSAR_0.4.2.zip, r-oldrel: HSAR_0.4.2.zip
OS X binaries: r-prerel: HSAR_0.4.2.tgz, r-release: HSAR_0.4.2.tgz
Old sources: HSAR archive

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