geoRglm internal functions
Conditional Simulation and Prediction for the Binomial-logit
Spatial model
Prediction for a Generalised Linear
Spatial Model
Create an mcmc object for the CODA package
Bayesian Posterior Simulation and Prediction for the Binomial
Spatial model
Plots Sample from Posterior Distributions
Envelope for Empirical Covariogram for the Poisson-log normal model
Conditional Simulation for a generalised linear spatial model
Summarizes Parameter Estimation Results for Generalised linear
Spatial Models
Empirical Covariogram for a Model with log-link and an Underlying Gaussian Field
Defunct Functions in the Package geoRglm
Asymptotic Variance
Defines output options
Plots Results of the Predictive Distribution
Defines options and model for prediction
Defines options for the MCMC-algorithm
Conditional Simulation and Prediction for the Poisson
Spatial model with a link function from the Box-Cox class
Defines model options
Computes Profile Likelihood for generalised linear spatial models
Plot Empirical Covariogram
Bayesian Posterior Simulation and Prediction for the Poisson
Spatial model
Simulated Data sets which Illustrate the Usage of the Package geoRglm
Monte Carlo Maximum Likelihood Estimation in a Generalised Linear
Spatial Model
Radionuclide Concentrations on Rongelap Island
Line with a Covariogram Model
Defines prior options
Prepare for Monte Carlo MLE