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spBayes (version 0.1-0)
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
0.1-0
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
September 23rd, 2024
Functions in spBayes (0.1-0)
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sp.lm
Function for fitting univariate Bayesian spatial regression models
rf.n1000.dat
Synthetic univariate data used for illustrations
bayes.lm.ref
Simple Bayesian linear model with non-informative priors
FORMGMT.dat
Data used for illustrations
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
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
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
mk.mv.X
Make a multivariate design matrix
ggt.sp
Function for fitting univariate and multivariate Bayesian spatial regression models
BEF.dat
Bartlett Experimental Forest inventory data
bayes.lm.conjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
bayes.geostat.exact
Simple Bayesian spatial linear model with fixed semivariogram parameters
rf.n500.dat
Synthetic univariate data used for illustrations
prior
Creates prior distribution definitions