DESCRIPTION

Package: HSAR
Title: Hierarchical Spatial Autoregressive Model
Version: 0.6.0
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 = "Lv",
             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
RoxygenNote: 7.3.2
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, tidyverse
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-12-20 02:26:53 UTC; dell
Author: Guanpeng Dong [aut, cph] (<https://orcid.org/0000-0003-3420-9622>),
  Wenbo Lv [aut, cre] (<https://orcid.org/0009-0002-6003-3800>),
  Richard Harris [aut],
  Angelos Mimis [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-23 10:30:02 UTC