Man pages for geoBayes
Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods
| alik_cutoff | Approximate log-likelihood calculation |
| alik_inla | Log-likelihood approximation |
| alik_optim | Log-likelihood maximisation |
| 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 |
| 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 |
| select_proposals | Selection of multiple importance sampling distributions |
| spcovariance | Spatial variance-covariance matrix |
| sploglik | Spatial log likelihood |
| sploglik_cross | Spatial log likelihood |
| stackdata | Combine 'data.frame's |
| subset.geomcmc | Subset MCMC chain |
