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spBayes (version 0.3-6)

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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Version

Install

install.packages('spBayes')

Monthly Downloads

822

Version

0.3-6

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

March 19th, 2013

Functions in spBayes (0.3-6)

spRecover

Function for recovering regression coefficients and spatial random effects for spLM and spMvLM using composition sampling
NETemp.dat

Monthly weather station temperature data across the Northeastern US
mkSpCov

Function for calculating univariate and multivariate covariance matrices
BEF.dat

Bartlett Experimental Forest inventory data
Zurich.dat

Zurichberg Forest inventory data
spMvGLM

Function for fitting multivariate Bayesian generalized linear spatial regression models
spLM

Function for fitting univariate Bayesian spatial regression models
WEF.dat

Western Experimental Forest inventory data
bayesGeostatExact

Simple Bayesian spatial linear model with fixed semivariogram parameters
spPredict

Function for new locations given a model object
FBC07.dat

Synthetic multivariate data with spatial and non-spatial variance structures
spGLM

Function for fitting univariate Bayesian generalized linear spatial regression models
pointsInPoly

Finds points in a polygon
FORMGMT.dat

Data used for illustrations
bayesLMConjugate

Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
spDiag

Model fit diagnostics
adaptMetropGibbs

Adaptive Metropolis within Gibbs algorithm
bayesLMRef

Simple Bayesian linear model with non-informative priors
iDist

Euclidean distance matrix
mkMvX

Make a multivariate design matrix
spMvLM

Function for fitting multivariate Bayesian spatial regression models
spDynLM

Function for fitting univariate Bayesian dynamic space-time regression models