Package: spBayes 0.4-8
spBayes: Univariate and Multivariate Spatial-Temporal Modeling
Fits univariate and multivariate spatio-temporal random effects models for point-referenced data using Markov chain Monte Carlo (MCMC). Details are given in Finley, Banerjee, and Gelfand (2015) <doi:10.18637/jss.v063.i13> and Finley and Banerjee <doi:10.1016/j.envsoft.2019.104608>.
Authors:
spBayes_0.4-8.tar.gz
spBayes_0.4-8.tar.gz(r-4.5-noble)spBayes_0.4-8.tar.gz(r-4.4-noble)
spBayes_0.4-8.tgz(r-4.4-emscripten)spBayes_0.4-8.tgz(r-4.3-emscripten)
spBayes.pdf |spBayes.html✨
spBayes/json (API)
# Install 'spBayes' in R: |
install.packages('spBayes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- BEF.dat - Bartlett Experimental Forest inventory data
- FBC07.dat - Synthetic multivariate data with spatial and non-spatial variance structures
- FORMGMT.dat - Data used for illustrations
- NETemp.dat - Monthly weather station temperature data across the Northeastern US
- NYOzone.dat - Observations of ozone concentration levels.
- PM10.dat - Observed and modeled PM10 concentrations across Europe
- PM10.poly - European countries used in PM10.dat
- SVCMvData.dat - Synthetic data from a space-varying coefficients model
- WEF.dat - Western Experimental Forest inventory data
- Zurich.dat - Zurichberg Forest inventory data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:b518901acb. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-linux-x86_64 | OK | Nov 23 2024 |
Exports:adaptMetropGibbsbayesGeostatExactbayesLMConjugatebayesLMRefiDistmkMvXmkSpCovpointsInPolyspDiagspDynLMspGLMspLMspMisalignGLMspMisalignLMspMvGLMspMvLMspPredictspRecoverspSVC