| .func.val | Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model |
| .lik.sim | Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model |
| .lik.sim.boxcox | Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model |
| .maxim.aux1 | Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model |
| .mcmc.aux | Conditional Simulation and Prediction for the Poisson Spatial model with a link function from the Box-Cox class |
| .mcmc.bayes.binom.logit | Bayesian Posterior Simulation and Prediction for the Binomial Spatial model |
| .mcmc.bayes.conj.binom.logit | Bayesian Posterior Simulation and Prediction for the Binomial Spatial model |
| .mcmc.bayes.conj.pois.boxcox | Bayesian Posterior Simulation and Prediction for the Poisson Spatial model |
| .mcmc.bayes.conj.pois.log | Bayesian Posterior Simulation and Prediction for the Poisson Spatial model |
| .mcmc.bayes.pois.boxcox | Bayesian Posterior Simulation and Prediction for the Poisson Spatial model |
| .mcmc.bayes.pois.log | Bayesian Posterior Simulation and Prediction for the Poisson Spatial model |
| .mcmc.binom.aux | Conditional Simulation and Prediction for the Binomial-logit Spatial model |
| .mcmc.binom.logit | Conditional Simulation and Prediction for the Binomial-logit Spatial model |
| .mcmc.boxcox.aux | Conditional Simulation and Prediction for the Poisson Spatial model with a link function from the Box-Cox class |
| .mcmc.pois.boxcox | Conditional Simulation and Prediction for the Poisson Spatial model with a link function from the Box-Cox class |
| .mcmc.pois.log | Conditional Simulation and Prediction for the Poisson Spatial model with a link function from the Box-Cox class |
| .NewtonRhapson.step | Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model |
| asympvar | Asymptotic Variance |
| b50 | Simulated Data sets which Illustrate the Usage of the Package geoRglm |
| b64 | Simulated Data sets which Illustrate the Usage of the Package geoRglm |
| binom.krige | Conditional Simulation and Prediction for the Binomial-logit Spatial model |
| binom.krige.bayes | Bayesian Posterior Simulation and Prediction for the Binomial Spatial model |
| covariog | Empirical Covariogram for a Model with log-link and an Underlying Gaussian Field |
| covariog.model.env | Envelope for Empirical Covariogram for the Poisson-log normal model |
| create.mcmc.coda | Create an mcmc object for the CODA package |
| geoRglmdefunct | Defunct Functions in the Package geoRglm |
| glsm.krige | Prediction for a Generalised Linear Spatial Model |
| glsm.mcmc | Conditional Simulation for a generalised linear spatial model |
| hist.glm.krige.bayes | Plots Sample from Posterior Distributions |
| image.glm.krige.bayes | Plots Results of the Predictive Distribution |
| krige.glm.control | Defines options and model for prediction |
| likfit.glsm | Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model |
| lines.covariomodel | Line with a Covariogram Model |
| mcmc.control | Defines options for the MCMC-algorithm |
| model.glm.control | Defines model options |
| output.glm.control | Defines output options |
| p50 | Simulated Data sets which Illustrate the Usage of the Package geoRglm |
| persp.glm.krige.bayes | Plots Results of the Predictive Distribution |
| plot.covariogram | Plot Empirical Covariogram |
| pois.krige | Conditional Simulation and Prediction for the Poisson Spatial model with a link function from the Box-Cox class |
| pois.krige.bayes | Bayesian Posterior Simulation and Prediction for the Poisson Spatial model |
| pois.log.krige | Defunct Functions in the Package geoRglm |
| prepare.likfit.glsm | Prepare for Monte Carlo MLE |
| print.likGLSM | Summarizes Parameter Estimation Results for Generalised linear Spatial Models |
| print.summary.likGLSM | Summarizes Parameter Estimation Results for Generalised linear Spatial Models |
| prior.glm.control | Defines prior options |
| proflik.glsm | Computes Profile Likelihood for generalised linear spatial models |
| rongelap | Radionuclide Concentrations on Rongelap Island |
| summary.likGLSM | Summarizes Parameter Estimation Results for Generalised linear Spatial Models |
| y50 | Defunct Functions in the Package geoRglm |