R: Bayesian Geostatistics Using Predictive Stacking

# Bayesian Geostatistics Using Predictive Stacking

## Documentation for package ‘spStack’ version 1.1.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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