Univariate and Multivariate Spatial Modeling


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Documentation for package ‘spBayes’ version 0.1-7

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adaptMetropGibbs Adaptive Metropolis within Gibbs algorithm
bayesGeostatExact Simple Bayesian spatial linear model with fixed semivariogram parameters
bayesLMConjugate Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
bayesLMRef Simple Bayesian linear model with non-informative priors
BEF.dat Bartlett Experimental Forest inventory data
covGivens Returns covariance matrix C given components of P and L in C=PLP'
covInvLogDet Utility function for constructing predictive process covariance matrices
FBC07.dat Synthetic multivariate data with spatial and non-spatial variance structures
FORMGMT.dat Data used for illustrations
hexGrid Generates a hexagon tessellation within a bounding box
iDist Euclidean distance matrix
mkMvX Make a multivariate design matrix
mvCovInvLogDet Utility function for constructing multivariate predictive process covariance matrices
mvLM Function for fitting multivariate Bayesian regression models
pointsInPoly Finds points in a polygon
prior Creates prior distribution definitions
rf.n1000.dat Synthetic univariate data used for illustrations
rf.n200.dat Synthetic univariate data used for illustrations
rf.n500.dat Synthetic univariate data used for illustrations
spDiag Model fit diagnostics DIC and GP
spGGT Function for fitting univariate and multivariate Bayesian spatial regression models
spGLM Function for fitting univariate Bayesian generalized linear spatial regression models
spLM Function for fitting univariate Bayesian spatial regression models
spMvGLM Function for fitting multivariate Bayesian generalized linear spatial regression models
spMvLM Function for fitting multivariate Bayesian spatial regression models
spPredict Prediction for new locations given a model object
WEF.dat Western Experimental Forest inventory data
Zurich.dat Zurichberg Forest inventory data