Package: spBayes 0.4-9

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:Andrew Finley [aut, cre], Sudipto Banerjee [aut]

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spBayes_0.4-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
spBayes/json (API)

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

Bug tracker:https://github.com/finleya/spbayes/issues

Pkgdown/docs site:https://finleya.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • 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

On CRAN:

Conda:

openblascppopenmp

6.29 score 6 packages 303 scripts 1.0k downloads 7 mentions 19 exports 7 dependencies

Last updated from:ff8f8f6c18. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK192
linux-devel-x86_64OK174
source / vignettesOK202
linux-release-arm64OK148
linux-release-x86_64OK157
macos-release-arm64OK133
macos-release-x86_64OK359
macos-oldrel-arm64OK109
macos-oldrel-x86_64OK373
windows-devel-arm64OK377
windows-devel-x86_64OK200
windows-release-arm64OK371
windows-release-x86_64OK186
windows-oldrel-x86_64OK145
wasm-releaseOK138

Exports:adaptMetropGibbsbayesGeostatExactbayesLMConjugatebayesLMRefiDistmkMvXmkSpCovpointsInPolyspDiagspDynLMspGLMspLMspMisalignGLMspMisalignLMspMvGLMspMvLMspPredictspRecoverspSVC

Dependencies:abindcodaFormulalatticemagicMatrixsp

Readme and manuals

Help Manual

Help pageTopics
Adaptive Metropolis within Gibbs algorithmadaptMetropGibbs
Simple Bayesian spatial linear model with fixed semivariogram parametersbayesGeostatExact
Simple Bayesian linear model via the Normal/inverse-Gamma conjugatebayesLMConjugate
Simple Bayesian linear model with non-informative priorsbayesLMRef
Bartlett Experimental Forest inventory dataBEF.dat
Synthetic multivariate data with spatial and non-spatial variance structuresFBC07.dat
Data used for illustrationsFORMGMT.dat
Euclidean distance matrixiDist
Make a multivariate design matrixmkMvX
Function for calculating univariate and multivariate covariance matricesmkSpCov
Monthly weather station temperature data across the Northeastern USNETemp.dat
Observations of ozone concentration levels.NYOzone.dat
Observed and modeled PM10 concentrations across EuropePM10.dat
European countries used in PM10.datPM10.poly
Finds points in a polygonpointsInPoly
Model fit diagnosticsspDiag
Function for fitting univariate Bayesian dynamic space-time regression modelsspDynLM
Function for fitting univariate Bayesian generalized linear spatial regression modelsspGLM
Function for fitting univariate Bayesian spatial regression modelsspLM
Function for fitting multivariate generalized linear Bayesian spatial regression models to misaligned dataspMisalignGLM
Function for fitting multivariate Bayesian spatial regression models to misaligned dataspMisalignLM
Function for fitting multivariate Bayesian generalized linear spatial regression modelsspMvGLM
Function for fitting multivariate Bayesian spatial regression modelsspMvLM
Function for new locations given a model objectspPredict
Function for recovering regression coefficients and spatial random effects for 'spLM', 'spMvLM', 'spMisalignLM', 'spSVC' using composition samplingspRecover
Function for fitting univariate Bayesian spatially-varying coefficient regression modelsspSVC
Synthetic data from a space-varying coefficients modelSVCMvData.dat
Western Experimental Forest inventory dataWEF.dat
Zurichberg Forest inventory dataZurich.dat