| asympvar | Asymptotic Variance |
| b50 | Simulated Data sets which Illustrate the Usage of the Package... |
| binom.krige | Conditional Simulation and Prediction for the Binomial-logit... |
| binom.krige.bayes | Bayesian Posterior Simulation and Prediction for the Binomial... |
| covariog | Empirical Covariogram for a Model with log-link and an... |
| covariog.model.env | Envelope for Empirical Covariogram for the Poisson-log normal... |
| create.mcmc.coda | Create an mcmc object for the CODA package |
| geoRglm-defunct | Defunct Functions in the Package geoRglm |
| geoRglm-internal | geoRglm internal functions |
| 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... |
| 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 |
| plot.covariogram | Plot Empirical Covariogram |
| pois.krige | Conditional Simulation and Prediction for the Poisson Spatial... |
| pois.krige.bayes | Bayesian Posterior Simulation and Prediction for the Poisson... |
| prepare.likfit.glsm | Prepare for Monte Carlo MLE |
| prior.glm.control | Defines prior options |
| proflik.glsm | Computes Profile Likelihood for generalised linear spatial... |
| rongelap | Radionuclide Concentrations on Rongelap Island |
| summary.likGLSM | Summarizes Parameter Estimation Results for Generalised... |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.