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spBayes (version 0.4-7)

Univariate and Multivariate Spatial-Temporal Modeling

Description

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) and Finley and Banerjee .

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Version

Install

install.packages('spBayes')

Monthly Downloads

822

Version

0.4-7

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

December 11th, 2023

Functions in spBayes (0.4-7)

Zurich.dat

Zurichberg Forest inventory data
FORMGMT.dat

Data used for illustrations
bayesLMConjugate

Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
NETemp.dat

Monthly weather station temperature data across the Northeastern US
PM10.poly

European countries used in PM10.dat
SVCMvData.dat

Synthetic data from a space-varying coefficients model
PM10.dat

Observed and modeled PM10 concentrations across Europe
bayesLMRef

Simple Bayesian linear model with non-informative priors
mkSpCov

Function for calculating univariate and multivariate covariance matrices
FBC07.dat

Synthetic multivariate data with spatial and non-spatial variance structures
spMvGLM

Function for fitting multivariate Bayesian generalized linear spatial regression models
spMvLM

Function for fitting multivariate Bayesian spatial regression models
pointsInPoly

Finds points in a polygon
spMisalignGLM

Function for fitting multivariate generalized linear Bayesian spatial regression models to misaligned data
spMisalignLM

Function for fitting multivariate Bayesian spatial regression models to misaligned data
iDist

Euclidean distance matrix
spDiag

Model fit diagnostics
mkMvX

Make a multivariate design matrix
spGLM

Function for fitting univariate Bayesian generalized linear spatial regression models
adaptMetropGibbs

Adaptive Metropolis within Gibbs algorithm
bayesGeostatExact

Simple Bayesian spatial linear model with fixed semivariogram parameters
spLM

Function for fitting univariate Bayesian spatial regression models
spPredict

Function for new locations given a model object
spDynLM

Function for fitting univariate Bayesian dynamic space-time regression models
spSVC

Function for fitting univariate Bayesian spatially-varying coefficient regression models
spRecover

Function for recovering regression coefficients and spatial random effects for spLM, spMvLM, spMisalignLM, spSVC using composition sampling
NYOzone.dat

Observations of ozone concentration levels.
WEF.dat

Western Experimental Forest inventory data
BEF.dat

Bartlett Experimental Forest inventory data