Package index • spStack

Stacking

Implements Bayesian predictive stacking for spatial/spatial-temporal linear and generalized linear models.

spLMstack(): Bayesian spatial linear model using predictive stacking
spGLMstack(): Bayesian spatial generalized linear model using predictive stacking
svcLMstack(): Bayesian spatially varying coefficients linear model using predictive stacking
svcGLMstack(): Bayesian spatially varying coefficients generalized linear model using predictive stacking
stvcLMstack(): Bayesian spatially-temporally varying coefficients linear model using predictive stacking
stvcGLMstack(): Bayesian spatially-temporally varying coefficients generalized linear model using predictive stacking
candidateModels(): Create a collection of candidate models for stacking

Exact samplers and finds LOO-PD

Samples from the posterior distribution conditional on fixed values of spatial/spatial-temporal process parameters and finds leave-one-out predictive densities

spLMexact(): Univariate Bayesian spatial linear model
spGLMexact(): Univariate Bayesian spatial generalized linear model
svcLMexact(): Bayesian spatially varying coefficients linear model
svcGLMexact(): Bayesian spatially varying coefficients generalized linear model
stvcLMexact(): Bayesian spatially-temporally varying coefficients linear model
stvcGLMexact(): Bayesian spatially-temporally varying generalized linear model

Downstream posterior sampling

Posterior recovery of scale parameters and posterior predictive inference

recoverGLMscale(): Recover posterior samples of scale parameters of spatial/spatial-temporal generalized linear models
posteriorPredict(): Prediction of latent process at new spatial or temporal locations

Analysis of output

Stacked posterior

Helps analyze output of stacking algorithms

stackedSampler(): Sample from the stacked posterior distribution
get_stacking_weights(): Optimal stacking weights

Surface plots

Creates and plots interpolated spatial surfaces

surfaceplot(): Make a surface plot
surfaceplot2(): Make two side-by-side surface plots

Matrix algorithms

Provides compiled code for various Cholesky factor updates helpful for those designing their own cross-validation algorithms

cholUpdateRankOne() cholUpdateDel() cholUpdateDelBlock(): Different Cholesky factor updates

Synthetic datasets

Simulated spatial and spatial-temporal data on the unit square

simSpatial: Synthetic point-referenced spatial data
simSpaceTime: Synthetic point-referenced spatial-temporal data

Other utilities

spStack spStack-package: spStack: Bayesian Geostatistics Using Predictive Stacking
iDist(): Calculate distance matrix