Package: HSAR 0.6.0
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:
HSAR_0.6.0.tar.gz
HSAR_0.6.0.zip(r-4.5)HSAR_0.6.0.zip(r-4.4)HSAR_0.6.0.zip(r-4.3)
HSAR_0.6.0.tgz(r-4.4-x86_64)HSAR_0.6.0.tgz(r-4.4-arm64)HSAR_0.6.0.tgz(r-4.3-x86_64)HSAR_0.6.0.tgz(r-4.3-arm64)
HSAR_0.6.0.tar.gz(r-4.5-noble)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://spatlyu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/spatlyu/hsar/issues
Pkgdown:https://spatlyu.github.io
- 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
spatial-econometricsspatial-regressionspatial-statisticsopenblascppopenmp
Last updated 1 hours agofrom:9ff2b08a49. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 05 2024 |
R-4.5-win-x86_64 | OK | Dec 05 2024 |
R-4.5-linux-x86_64 | OK | Dec 05 2024 |
R-4.4-win-x86_64 | OK | Dec 05 2024 |
R-4.4-mac-x86_64 | OK | Dec 05 2024 |
R-4.4-mac-aarch64 | OK | Dec 05 2024 |
R-4.3-win-x86_64 | OK | Dec 05 2024 |
R-4.3-mac-x86_64 | OK | Dec 05 2024 |
R-4.3-mac-aarch64 | OK | Dec 05 2024 |
Dependencies:bootclassclassIntcodacodetoolsDBIdeldire1071KernSmoothlatticeLearnBayesmagrittrMASSMatrixmultcompmvtnormnlmeproxyRcppRcppArmadillos2sandwichsfspspatialregspDataspdepsurvivalTH.dataunitswkzoo