| 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 |