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spBayes (version 0.2-4)
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
790
Version
0.2-4
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
April 24th, 2012
Functions in spBayes (0.2-4)
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FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
synthetic.dat
Synthetic univariate data used for illustrations
mvLM
Function for fitting multivariate Bayesian regression models
pointsInPoly
Finds points in a polygon
spMvGLM
Function for fitting multivariate Bayesian generalized linear spatial regression models
bayesGeostatExact
Simple Bayesian spatial linear model with fixed semivariogram parameters
iDist
Euclidean distance matrix
mkMvX
Make a multivariate design matrix
hexGrid
Generates a hexagon tessellation within a bounding box
covInvLogDet
Utility function for constructing predictive process covariance matrices
Zurich.dat
Zurichberg Forest inventory data
spDiag
Model fit diagnostics DIC and GP
prior
Creates prior distribution definitions
spGGT
Function for fitting univariate and multivariate Bayesian spatial regression models
covGivens
Returns covariance matrix C given components of P and L in C=PLP'
spLM
Function for fitting univariate Bayesian spatial regression models
WEF.dat
Western Experimental Forest inventory data
bayesLMRef
Simple Bayesian linear model with non-informative priors
FORMGMT.dat
Data used for illustrations
spMvLM
Function for fitting multivariate Bayesian spatial regression models
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
bayesLMConjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
mvCovInvLogDet
Utility function for constructing multivariate predictive process covariance matrices
spPredict
Prediction for new locations given a model object
BEF.dat
Bartlett Experimental Forest inventory data