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spBayes (version 0.2-2)
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
822
Version
0.2-2
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
January 13th, 2012
Functions in spBayes (0.2-2)
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mkMvX
Make a multivariate design matrix
BEF.dat
Bartlett Experimental Forest inventory data
covInvLogDet
Utility function for constructing predictive process covariance matrices
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
spLM
Function for fitting univariate Bayesian spatial regression models
covGivens
Returns covariance matrix C given components of P and L in C=PLP'
spMvGLM
Function for fitting multivariate Bayesian generalized linear spatial regression models
spMvLM
Function for fitting multivariate Bayesian spatial regression models
hexGrid
Generates a hexagon tessellation within a bounding box
spPredict
Prediction for new locations given a model object
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
synthetic.dat
Synthetic univariate data used for illustrations
bayesLMRef
Simple Bayesian linear model with non-informative priors
iDist
Euclidean distance matrix
bayesLMConjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
mvLM
Function for fitting multivariate Bayesian regression models
WEF.dat
Western Experimental Forest inventory data
mvCovInvLogDet
Utility function for constructing multivariate predictive process covariance matrices
pointsInPoly
Finds points in a polygon
spGGT
Function for fitting univariate and multivariate Bayesian spatial regression models
prior
Creates prior distribution definitions
bayesGeostatExact
Simple Bayesian spatial linear model with fixed semivariogram parameters
FORMGMT.dat
Data used for illustrations
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
Zurich.dat
Zurichberg Forest inventory data
spDiag
Model fit diagnostics DIC and GP