Bayesian Geostatistics Using Predictive Stacking

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Documentation for package ‘spStack’ version 1.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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