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| adaptMetropGibbs | Adaptive Metropolis within Gibbs algorithm |
| bayesGeostatExact | Simple Bayesian spatial linear model with fixed semivariogram parameters |
| bayesLMConjugate | Simple Bayesian linear model via the Normal/inverse-Gamma conjugate |
| bayesLMRef | Simple Bayesian linear model with non-informative priors |
| BEF.dat | Bartlett Experimental Forest inventory data |
| covGivens | Returns covariance matrix C given components of P and L in C=PLP' |
| covInvLogDet | Utility function for constructing predictive process covariance matrices |
| FBC07.dat | Synthetic multivariate data with spatial and non-spatial variance structures |
| FORMGMT.dat | Data used for illustrations |
| hexGrid | Generates a hexagon tessellation within a bounding box |
| iDist | Euclidean distance matrix |
| mkMvX | Make a multivariate design matrix |
| mvCovInvLogDet | Utility function for constructing multivariate predictive process covariance matrices |
| pointsInPoly | Finds points in a polygon |
| 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 |
| spDIC | Calculates DIC and associated statistics given a model object |
| spGGT | Function for fitting univariate and multivariate Bayesian spatial regression models |
| spGLM | Function for fitting univariate Bayesian generalized linear spatial regression models |
| spLM | Function for fitting univariate Bayesian spatial regression models |
| spMvGLM | Function for fitting multivariate Bayesian generalized linear spatial regression models |
| spMvLM | Function for fitting multivariate Bayesian spatial regression models |
| spPredict | Prediction for new points given a model object |
| WEF.dat | Western Experimental Forest inventory data |
| Zurich.dat | Zurichberg Forest inventory data |