| spStack-package | spStack: Bayesian Geostatistics Using Predictive Stacking | 
| candidateModels | Create a collection of candidate models for stacking | 
| cholUpdate | Different Cholesky factor updates | 
| cholUpdateDel | Different Cholesky factor updates | 
| cholUpdateDelBlock | Different Cholesky factor updates | 
| cholUpdateRankOne | Different Cholesky factor updates | 
| get_stacking_weights | Optimal stacking weights | 
| iDist | Calculate distance matrix | 
| posteriorPredict | Prediction of latent process at new spatial or temporal locations | 
| recoverGLMscale | Recover posterior samples of scale parameters of spatial/spatial-temporal generalized linear models | 
| simBinary | Synthetic point-referenced binary data | 
| simBinom | Synthetic point-referenced binomial count data | 
| simGaussian | Synthetic point-referenced Gaussian data | 
| simPoisson | Synthetic point-referenced Poisson count data | 
| sim_spData | Simulate spatial data on unit square | 
| sim_stvcPoisson | Synthetic point-referenced spatial-temporal Poisson count data simulated using spatially-temporally varying coefficients | 
| spGLMexact | Univariate Bayesian spatial generalized linear model | 
| spGLMstack | Bayesian spatial generalized linear model using predictive stacking | 
| spLMexact | Univariate Bayesian spatial linear model | 
| spLMstack | Bayesian spatial linear model using predictive stacking | 
| spStack | spStack: Bayesian Geostatistics Using Predictive Stacking | 
| stackedSampler | Sample from the stacked posterior distribution | 
| stvcGLMexact | Bayesian spatially-temporally varying generalized linear model | 
| stvcGLMstack | Bayesian spatially-temporally varying coefficients generalized linear model using predictive stacking | 
| surfaceplot | Make a surface plot | 
| surfaceplot2 | Make two side-by-side surface plots |