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 ORCID iD [aut, cph], Wenbo Lv ORCID iD [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:

Reference manual: HSAR.html , HSAR.pdf
Vignettes: HSAR (source)

Downloads:

Package source: HSAR_0.6.0.tar.gz
Windows binaries: r-devel: HSAR_0.6.0.zip, r-release: HSAR_0.6.0.zip, r-oldrel: HSAR_0.6.0.zip
macOS binaries: r-release (arm64): HSAR_0.6.0.tgz, r-oldrel (arm64): HSAR_0.6.0.tgz, r-release (x86_64): HSAR_0.6.0.tgz, r-oldrel (x86_64): HSAR_0.6.0.tgz
Old sources: HSAR archive

Linking:

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