bayes.geostat.exact |
Simple Bayesian spatial linear model with fixed semivariogram parameters |
bayes.lm.conjugate |
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate |
bayes.lm.ref |
Simple Bayesian linear model with non-informative priors |
BEF.dat |
Bartlett Experimental Forest inventory data |
FBC07.dat |
Synthetic multivariate data with spatial and non-spatial variance structures |
FORMGMT.dat |
Data used for illustrations |
ggt.sp |
Function for fitting univariate and multivariate Bayesian spatial regression models |
mk.mv.X |
Make a multivariate design matrix |
prior |
Creates prior distribution definitions |
rf.n1000.dat |
Synthetic univariate data used for illustrations |
rf.n200.dat |
Synthetic univariate data used for illustrations |
rf.n500.dat |
Synthetic univariate 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 |
sp.lm |
Function for fitting univariate Bayesian spatial regression models |
sp.predict |
Prediction for new points given a ggt.sp, sp.lm, or bayes.geostat.exact object |