<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Hierarchical Spatial Autoregressive Model</dc:title>
  <dc:title>R package HSAR version 0.6.0</dc:title>
  <dc:description>A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian Markov Chain Monte Carlo (MCMC) algorithm (Dong and Harris (2014) &lt;doi:10.1111/gean.12049&gt;). 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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: spdep, spatialreg, stats</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: knitr, Matrix, RColorBrewer, Rcpp, RcppArmadillo, rmarkdown,
sdsfun, sf, tidyverse</dc:relation>
  <dc:creator>Wenbo Lv &lt;lyu.geosocial@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Guanpeng Dong [aut, cph] (ORCID:
    &lt;https://orcid.org/0000-0003-3420-9622&gt;),
  Wenbo Lv [aut, cre] (ORCID: &lt;https://orcid.org/0009-0002-6003-3800&gt;),
  Richard Harris [aut],
  Angelos Mimis [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-12-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=HSAR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.HSAR</dc:identifier>
</oai_dc:dc>
