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spBayes (version 0.1-5)
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
668
Version
0.1-5
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
January 8th, 2010
Functions in spBayes (0.1-5)
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hexGrid
Generates a hexagon tessellation within a bounding box
covGivens
Returns covariance matrix C given components of P and L in C=PLP'
mkMvX
Make a multivariate design matrix
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
mvCovInvLogDet
Utility function for constructing multivariate predictive process covariance matrices
synthetic.dat
Synthetic univariate data used for illustrations
Zurich.dat
Zurichberg Forest inventory data
iDist
Euclidean distance matrix
covInvLogDet
Utility function for constructing predictive process covariance matrices
bayesGeostatExact
Simple Bayesian spatial linear model with fixed semivariogram parameters
pointsInPoly
Finds points in a polygon
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
BEF.dat
Bartlett Experimental Forest inventory data
WEF.dat
Western Experimental Forest inventory data
spMvLM
Function for fitting multivariate Bayesian spatial regression models
FORMGMT.dat
Data used for illustrations
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
spPredict
Prediction for new points given a model object
bayesLMConjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
prior
Creates prior distribution definitions
spMvGLM
Function for fitting multivariate Bayesian generalized linear spatial regression models
spDIC
Calculates DIC and associated statistics given a model object