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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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Install
install.packages('spBayes')
Monthly Downloads
1,147
Version
0.1-2
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
March 24th, 2009
Functions in spBayes (0.1-2)
Search functions
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