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spBayes (version 0.1-2)

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

0.1-2

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

March 24th, 2009

Functions in spBayes (0.1-2)

FBC07.dat

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

Function for fitting univariate and multivariate Bayesian spatial regression models
spLM

Function for fitting univariate Bayesian spatial regression models
bayesLMRef

Simple Bayesian linear model with non-informative priors
covGivens

Returns covariance matrix C given components of P and L in C=PLP'
bayesGeostatExact

Simple Bayesian spatial linear model with fixed semivariogram parameters
adaptMetropGibbs

Adaptive Metropolis within Gibbs algorithm
spDIC

Calculates model DIC and associated statistics given a bayesLMRef, bayesLMConjugate, spGGT, spLM, spMvLM, bayesGeostatExact object
prior

Creates prior distribution definitions
spMvLM

Function for fitting multivariate Bayesian spatial regression models
WEF.dat

Western Experimental Forest inventory data
Zurich.dat

Zurichberg Forest inventory data
pointsInPoly

Finds points in a polygon
spGLM

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

Bartlett Experimental Forest inventory data
covInvLogDet

Utility function for constructing predictive process covariance matrices
synthetic.dat

Synthetic univariate data used for illustrations
iDist

Euclidean distance matrix
mvCovInvLogDet

Utility function for constructing multivariate predictive process covariance matrices
spMvGLM

Function for fitting multivariate Bayesian generalized linear spatial regression models
bayesLMConjugate

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

Data used for illustrations
mkMvX

Make a multivariate design matrix
spPredict

Prediction for new points given a spGGT, spLM, spMvLM, spGLM, spMvGLM, or bayesGeostatExact object
hexGrid

Generates a hexagon tessellation within a bounding box