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 |
Author: |
Guanpeng Dong
[aut, cph],
Wenbo Lv [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:
Downloads:
Linking:
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