# Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods

## Documentation for package ‘geoBayes’ version 0.7.1

- DESCRIPTION file.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

.geoBayes_corrfcn | Spatial correlation used in the geoBayes package
.geoBayes_models | Models used in the geoBayes package
alik_cutoff | Approximate log-likelihood calculation
alik_inla | Log-likelihood approximation
alik_optim | Log-likelihood maximisation
alik_plot | Approximate log-likelihood calculation
bf1skel | Computation of Bayes factors at the skeleton points
bf2new | Compute the Bayes factors at new points
bf2optim | Empirical Bayes estimator
bf2se | Empirical Bayes standard errors
bmbfse | Batch means, Bayes factors standard errors
geoBayes | The 'geoBayes' package
geoBayes_correlation | Spatial correlation used in the geoBayes package
geoBayes_models | Models used in the geoBayes package
linkfcn | Calculate the link function for exponential families
linkinv | Calculate the link function for exponential families
mcmcmake | Convert to an 'mcmc' object
mcsglmm | MCMC samples from the Spatial GLMM
mcsglmm_mala | MCMC samples from the Spatial GLMM
mcstrga | MCMC samples from the transformed Gaussian model
mcstrga_mala | MCMC samples from the transformed Gaussian model
mkpredgrid2d | Make prediction grid
plotbf2 | Plot the estimated Bayes factors
revlogreg | Reverse logistic regression estimation
rhizoctonia | Rhizoctonia root rot infections
rsglmm | Simulation from a spatial model
rsgrf | Simulation from a spatial model
rstrga | Simulation from a spatial model
select_proposals | Selection of multiple importance sampling distributions
select_proposals_ENT | Selection of multiple importance sampling distributions
select_proposals_MNX | Selection of multiple importance sampling distributions
select_proposals_SEQ | Selection of multiple importance sampling distributions
spcovariance | Spatial variance-covariance matrix
spcovariance.dist | Spatial variance-covariance matrix
spcovariance.formula | Spatial variance-covariance matrix
spcovariance.numeric | Spatial variance-covariance matrix
sploglik | Spatial log likelihood
sploglik_cross | Spatial log likelihood
stackdata | Combine 'data.frame's
subset.geomcmc | Subset MCMC chain