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spBayes (version 0.3-5)
Univariate and Multivariate Spatial Modeling
Description
spBayes fits univariate and multivariate spatial models with Markov chain Monte Carlo (MCMC).
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Install
install.packages('spBayes')
Monthly Downloads
1,147
Version
0.3-5
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
March 2nd, 2013
Functions in spBayes (0.3-5)
Search functions
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
mkSpCov
Function for calculating univariate and multivariate covariance matrices
WEF.dat
Western Experimental Forest inventory data
bayesGeostatExact
Simple Bayesian spatial linear model with fixed semivariogram parameters
bayesLMRef
Simple Bayesian linear model with non-informative priors
spPredict
Function for new locations given a model object
FORMGMT.dat
Data used for illustrations
spDynLM
Function for fitting univariate Bayesian dynamic space-time regression models
bayesLMConjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
iDist
Euclidean distance matrix
spRecover
Function for recovering regression coefficients and spatial random effects for
spLM
and
spMvLM
using composition sampling
spMvGLM
Function for fitting multivariate Bayesian generalized linear spatial regression models
spMvLM
Function for fitting multivariate Bayesian spatial regression models
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
BEF.dat
Bartlett Experimental Forest inventory data
Zurich.dat
Zurichberg Forest inventory data
NETemp.dat
Monthly weather station temperature data across the Northeastern US
spDiag
Model fit diagnostics
pointsInPoly
Finds points in a polygon
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
mkMvX
Make a multivariate design matrix
spLM
Function for fitting univariate Bayesian spatial regression models