Package: HSAR 0.6.0

Wenbo Lv

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.

Authors:Guanpeng Dong [aut, cph], Wenbo Lv [aut, cre], Richard Harris [aut], Angelos Mimis [aut]

HSAR_0.6.0.tar.gz
HSAR_0.6.0.tar.gz(r-4.4-noble)
HSAR_0.6.0.tgz(r-4.4-emscripten)HSAR_0.6.0.tgz(r-4.3-emscripten)
HSAR.pdf |HSAR.html✨
HSAR/json (API)
NEWS

# Install 'HSAR' in R:
install.packages('HSAR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/spatlyu/hsar/issues

Pkgdown site:https://spatlyu.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • Beijingdistricts - Boundaries of districts in Beijing
  • depmunic - Municipality departments of Athens
  • land - The spatial locations of the Beijing land price data
  • landprice - Leased residential land parcels, from 2003 to 2009 in Beijing, China
  • properties - Dataset of properties in the municipality of Athens

openblascppopenmp

3.16 score 1 stars 29 scripts 50 downloads 2 exports 32 dependencies

Last updated 2 days agofrom:194ea11e01. Checks:OK: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 23 2024

Exports:hsarsar

Dependencies:bootclassclassIntcodacodetoolsDBIdeldire1071KernSmoothlatticeLearnBayesmagrittrMASSMatrixmultcompmvtnormnlmeproxyRcppRcppArmadillos2sandwichsfspspatialregspDataspdepsurvivalTH.dataunitswkzoo

Hierarchical Spatial Simultaneous Autoregressive Model (HSAR)

Rendered fromHSAR.Rmdusingknitr::rmarkdownon Dec 23 2024.

Last update: 2024-12-23
Started: 2024-12-23