# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "HSAR" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'HSAR: Hierarchical Spatial Autoregressive Model'
version: 0.6.0
doi: 10.1111/gean.12049
identifiers:
- type: doi
  value: 10.32614/CRAN.package.HSAR
abstract: 'A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian
  Markov Chain Monte Carlo (MCMC) algorithm (Dong and Harris (2014) <https://doi.org/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.'
authors:
- family-names: Dong
  given-names: Guanpeng
  email: gpdong@vip.henu.edu.cn
  orcid: https://orcid.org/0000-0003-3420-9622
- family-names: Lv
  given-names: Wenbo
  email: lyu.geosocial@gmail.com
  orcid: https://orcid.org/0009-0002-6003-3800
- family-names: Harris
  given-names: Richard
- family-names: Mimis
  given-names: Angelos
preferred-citation:
  type: article
  title: Spatial Autoregressive Models for Geographically Hierarchical Data Structures
  authors:
  - name: Dong
  - name: Guanpeng
  - name: Harris
  - name: Richard
  journal: Geographical Analysis
  volume: '47'
  issue: '2'
  year: '2014'
  publisher:
    name: Wiley
  doi: 10.1111/gean.12049
  start: 173–191
repository: https://CRAN.R-project.org/package=HSAR
repository-code: https://github.com/spatlyu/HSAR
url: https://spatlyu.github.io/HSAR/
date-released: '2024-12-23'
contact:
- family-names: Lv
  given-names: Wenbo
  email: lyu.geosocial@gmail.com
  orcid: https://orcid.org/0009-0002-6003-3800