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spBayes (version 0.2-1)

Univariate and Multivariate Spatial Modeling

Description

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

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Version

Install

install.packages('spBayes')

Monthly Downloads

822

Version

0.2-1

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

May 23rd, 2011

Functions in spBayes (0.2-1)

prior

Creates prior distribution definitions
mkMvX

Make a multivariate design matrix
mvCovInvLogDet

Utility function for constructing multivariate predictive process covariance matrices
spDiag

Model fit diagnostics DIC and GP
spMvGLM

Function for fitting multivariate Bayesian generalized linear spatial regression models
spPredict

Prediction for new locations given a model object
adaptMetropGibbs

Adaptive Metropolis within Gibbs algorithm
Zurich.dat

Zurichberg Forest inventory data
mvLM

Function for fitting multivariate Bayesian regression models
spGLM

Function for fitting univariate Bayesian generalized linear spatial regression models
FORMGMT.dat

Data used for illustrations
bayesLMRef

Simple Bayesian linear model with non-informative priors
bayesGeostatExact

Simple Bayesian spatial linear model with fixed semivariogram parameters
synthetic.dat

Synthetic univariate data used for illustrations
bayesLMConjugate

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

Euclidean distance matrix
covGivens

Returns covariance matrix C given components of P and L in C=PLP'
BEF.dat

Bartlett Experimental Forest inventory data
spGGT

Function for fitting univariate and multivariate Bayesian spatial regression models
hexGrid

Generates a hexagon tessellation within a bounding box
covInvLogDet

Utility function for constructing predictive process covariance matrices
spLM

Function for fitting univariate Bayesian spatial regression models
WEF.dat

Western Experimental Forest inventory data
FBC07.dat

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

Function for fitting multivariate Bayesian spatial regression models
pointsInPoly

Finds points in a polygon