R: A Package for Generalised Linear Spatial Models

# A Package for Generalised Linear Spatial Models

## Documentation for package ‘geoRglm’ version 0.9-11

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

.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