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spBayes (version 0.3-5)

Univariate and Multivariate Spatial Modeling

Description

spBayes fits univariate and multivariate spatial models with Markov chain Monte Carlo (MCMC).

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Version

Install

install.packages('spBayes')

Monthly Downloads

822

Version

0.3-5

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

March 2nd, 2013

Functions in spBayes (0.3-5)

FBC07.dat

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

Function for calculating univariate and multivariate covariance matrices
WEF.dat

Western Experimental Forest inventory data
bayesGeostatExact

Simple Bayesian spatial linear model with fixed semivariogram parameters
bayesLMRef

Simple Bayesian linear model with non-informative priors
spPredict

Function for new locations given a model object
FORMGMT.dat

Data used for illustrations
spDynLM

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

Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
iDist

Euclidean distance matrix
spRecover

spMvGLM

Function for fitting multivariate Bayesian generalized linear spatial regression models
spMvLM

Function for fitting multivariate Bayesian spatial regression models
adaptMetropGibbs

Adaptive Metropolis within Gibbs algorithm
BEF.dat

Bartlett Experimental Forest inventory data
Zurich.dat

Zurichberg Forest inventory data
NETemp.dat

Monthly weather station temperature data across the Northeastern US
spDiag

Model fit diagnostics
pointsInPoly

Finds points in a polygon
spGLM

Function for fitting univariate Bayesian generalized linear spatial regression models
mkMvX

Make a multivariate design matrix
spLM

Function for fitting univariate Bayesian spatial regression models