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spBayes (version 0.3-1)
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
822
Version
0.3-1
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
January 2nd, 2013
Functions in spBayes (0.3-1)
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iDist
Euclidean distance matrix
WEF.dat
Western Experimental Forest inventory data
Zurich.dat
Zurichberg Forest inventory data
spRecover
Function for recovering regression coefficients and spatial random effects for
spLM
and
spMvLM
using composition sampling
mkMvX
Make a multivariate design matrix
spLM
Function for fitting univariate Bayesian spatial regression models
pointsInPoly
Finds points in a polygon
spDiag
Model fit diagnostics
bayesLMRef
Simple Bayesian linear model with non-informative priors
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
BEF.dat
Bartlett Experimental Forest inventory data
spMvLM
Function for fitting multivariate Bayesian spatial regression models
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
mkSpCov
Function for calculating univariate and multivariate covariance matrices
spPredict
Function for new locations given a model object
spMvGLM
Function for fitting multivariate Bayesian generalized linear spatial regression models