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spBayes (version 0.1-4)
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
0.1-4
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
December 26th, 2009
Functions in spBayes (0.1-4)
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iDist
Euclidean distance matrix
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
synthetic.dat
Synthetic univariate data used for illustrations
mkMvX
Make a multivariate design matrix
pointsInPoly
Finds points in a polygon
prior
Creates prior distribution definitions
spLM
Function for fitting univariate Bayesian spatial regression models
spGGT
Function for fitting univariate and multivariate Bayesian spatial regression models
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
spPredict
Prediction for new points given a model object
mvCovInvLogDet
Utility function for constructing multivariate predictive process covariance matrices
covGivens
Returns covariance matrix C given components of P and L in C=PLP'
spMvLM
Function for fitting multivariate Bayesian spatial regression models
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
spDIC
Calculates DIC and associated statistics given a model object
spMvGLM
Function for fitting multivariate Bayesian generalized linear spatial regression models
BEF.dat
Bartlett Experimental Forest inventory data
bayesLMRef
Simple Bayesian linear model with non-informative priors
bayesGeostatExact
Simple Bayesian spatial linear model with fixed semivariogram parameters
bayesLMConjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
Zurich.dat
Zurichberg Forest inventory data
covInvLogDet
Utility function for constructing predictive process covariance matrices
FORMGMT.dat
Data used for illustrations
WEF.dat
Western Experimental Forest inventory data
hexGrid
Generates a hexagon tessellation within a bounding box