Package: HSAR
Title: Hierarchical Spatial Autoregressive Model
Version: 0.7.3
Authors@R: 
    c(
      person(given = "Guanpeng", family = "Dong",
             email = "gpdong@vip.henu.edu.cn", 
             role = c("aut", "cph"),
             comment = c(ORCID = "0000-0003-3420-9622")),
      person(given = "Wenbo", family = "Lyu",
             email = "lyu.geosocial@gmail.com", 
             role = c("aut", "cre"),
             comment = c(ORCID = "0009-0002-6003-3800")),
      person(given = "Richard", family = "Harris",
             role = "aut"),
      person(given = "Angelos", family = "Mimis",
             role = "aut")
     )
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
URL: https://spatlyu.github.io/HSAR/, https://github.com/spatlyu/HSAR
BugReports: https://github.com/spatlyu/HSAR/issues
Depends: R (>= 3.5)
Imports: spdep, spatialreg, stats
Suggests: knitr, Matrix, RColorBrewer, Rcpp, RcppArmadillo, rmarkdown,
        sdsfun, sf, stringr, tidyverse
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
LazyData: true
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://spatlyu.r-universe.dev
Date/Publication: 2026-03-27 13:58:56 UTC
RemoteUrl: https://github.com/SpatLyu/HSAR
RemoteRef: HEAD
RemoteSha: e42378a8300213d314fbf421e726b2e4961b690d
NeedsCompilation: yes
Packaged: 2026-05-26 06:29:53 UTC; root
Author: Guanpeng Dong [aut, cph] (ORCID:
    <https://orcid.org/0000-0003-3420-9622>),
  Wenbo Lyu [aut, cre] (ORCID: <https://orcid.org/0009-0002-6003-3800>),
  Richard Harris [aut],
  Angelos Mimis [aut]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>