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geoRglm (version 0.9-11)

A Package for Generalised Linear Spatial Models

Description

Functions for inference in generalised linear spatial models. The posterior and predictive inference is based on Markov chain Monte Carlo methods. Package geoRglm is an extension to the package geoR, which must be installed first.

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Version

Install

install.packages('geoRglm')

Monthly Downloads

50

Version

0.9-11

License

GPL (>= 2)

Maintainer

Ole F Christensen

Last Published

October 18th, 2017

Functions in geoRglm (0.9-11)

create.mcmc.coda

Create an mcmc object for the CODA package
geoRglm-defunct

Defunct Functions in the Package geoRglm
asympvar

Asymptotic Variance
b50, p50 and b64

Simulated Data sets which Illustrate the Usage of the Package geoRglm
geoRglm-internal

geoRglm internal functions
glsm.krige

Prediction for a Generalised Linear Spatial Model
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
output.glm.control

Defines output options
plot.covariogram

Plot Empirical Covariogram
image.glm.krige.bayes

Plots Results of the Predictive Distribution
krige.glm.control

Defines options and model for prediction
mcmc.control

Defines options for the MCMC-algorithm
model.glm.control

Defines model options
prepare.likfit.glsm

Prepare for Monte Carlo MLE
prior.glm.control

Defines prior options
glsm.mcmc

Conditional Simulation for a generalised linear spatial model
hist.glm.krige.bayes

Plots Sample from Posterior Distributions
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
likfit.glsm

Monte Carlo Maximum Likelihood Estimation in a Generalised Linear Spatial Model
lines.covariomodel

Line with a Covariogram Model
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