geoRglm - a package for generalised linear spatial models


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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
cite.geoRglm Citing Package geoRglm in Publications
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
func.val Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model
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
lik.sim Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model
likfit.glsm Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model
lines.covariomodel Line with a Covariogram 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.control Defines options for the MCMC-algorithm
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
model.glm.control Defines model options
NewtonRhapson.step Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model
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.lik.sim Prepare for Monte Carlo MLE
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