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| 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 |