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spBayes (version 0.0-9)
Univariate and Multivariate Spatial Modeling
Description
spBayes fits Gaussian univariate and multivariate models with Markov chain Monte Carlo (MCMC).
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Install
install.packages('spBayes')
Monthly Downloads
822
Version
0.0-9
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
September 23rd, 2024
Functions in spBayes (0.0-9)
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bayes.lm.ref
Simple Bayesian linear model with non-informative priors
rf.n1000.dat
Synthetic univariate data used for illustrations
prior
Creates prior distribution definitions
sp.lm
Function for fitting univariate Bayesian spatial regression models
bayes.lm.conjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
BEF.dat
Bartlett Experimental Forest inventory data
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
rf.n500.dat
Synthetic univariate data used for illustrations
bayes.geostat.exact
Simple Bayesian spatial linear model with fixed semivariogram parameters
sp.predict
Prediction for new points given a ggt.sp, sp.lm, or bayes.geostat.exact object
rf.n200.dat
Synthetic univariate data used for illustrations
ggt.sp
Function for fitting univariate and multivariate Bayesian spatial regression models
FORMGMT.dat
Data used for illustrations
mk.mv.X
Make a multivariate design matrix
sp.DIC
Calculates model DIC and associated statistics given a bayes.lm.ref, bayes.lm.conjugate, ggt.sp, sp.lm, or bayes.geostat.exact object