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spBayes (version 0.3-7)
Univariate and Multivariate Spatial-temporal Modeling
Description
spBayes fits univariate and multivariate spatio-temporal models with Markov chain Monte Carlo (MCMC).
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Install
install.packages('spBayes')
Monthly Downloads
822
Version
0.3-7
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
June 2nd, 2013
Functions in spBayes (0.3-7)
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bayesLMRef
Simple Bayesian linear model with non-informative priors
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
NETemp.dat
Monthly weather station temperature data across the Northeastern US
spDynLM
Function for fitting univariate Bayesian dynamic space-time regression models
iDist
Euclidean distance matrix
spMvLM
Function for fitting multivariate Bayesian spatial regression models
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
FORMGMT.dat
Data used for illustrations
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
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
bayesGeostatExact
Simple Bayesian spatial linear model with fixed semivariogram parameters
WEF.dat
Western Experimental Forest inventory data
pointsInPoly
Finds points in a polygon
BEF.dat
Bartlett Experimental Forest inventory data
spDiag
Model fit diagnostics
Zurich.dat
Zurichberg Forest inventory data
spPredict
Function for new locations given a model object
NYOzone.dat
Observations of ozone concentration levels.
mkMvX
Make a multivariate design matrix
spLM
Function for fitting univariate Bayesian spatial regression models
bayesLMConjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
mkSpCov
Function for calculating univariate and multivariate covariance matrices