geoRglm: A Package for Generalised Linear Spatial Models

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.

Author
Ole F. Christensen [aut, cre], Paulo J. Ribeiro Jr [aut]
Date of publication
2015-04-27 09:05:25
Maintainer
Ole F. Christensen <OleF.Christensen@mbg.au.dk>
License
GPL (>= 2)
Version
0.9-8
URLs

View on CRAN

Man pages

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...

Files in this package

geoRglm
geoRglm/inst
geoRglm/inst/CITATION
geoRglm/inst/doc
geoRglm/inst/doc/geoRglmintro.Rnw
geoRglm/inst/doc/geoRglmintro.R
geoRglm/inst/doc/geoRglmintro.pdf
geoRglm/src
geoRglm/src/geoR.h
geoRglm/src/geoRgeoRglm.c
geoRglm/src/geoRglm.c
geoRglm/NAMESPACE
geoRglm/data
geoRglm/data/b50.rda
geoRglm/data/p50.rda
geoRglm/data/rongelap.rda
geoRglm/data/b64.rda
geoRglm/R
geoRglm/R/nonpar.R
geoRglm/R/pois.pred.R
geoRglm/R/extensions.R
geoRglm/R/likeli.R
geoRglm/R/glsm.krige.R
geoRglm/R/proflik.R
geoRglm/R/binom.bayes.R
geoRglm/R/geoRglmstuff.R
geoRglm/R/general.R
geoRglm/R/binom.pred.R
geoRglm/R/pois.bayes.R
geoRglm/R/bayes.R
geoRglm/R/mcmc.R
geoRglm/R/zzz.R
geoRglm/vignettes
geoRglm/vignettes/geoRglmintro.Rnw
geoRglm/MD5
geoRglm/build
geoRglm/build/vignette.rds
geoRglm/DESCRIPTION
geoRglm/man
geoRglm/man/prepare.likfit.glsm.Rd
geoRglm/man/pois.krige.bayes.Rd
geoRglm/man/covariog.Rd
geoRglm/man/covariog.model.env.Rd
geoRglm/man/image.glm.krige.bayes.Rd
geoRglm/man/glsm.krige.Rd
geoRglm/man/mcmc.control.Rd
geoRglm/man/prior.glm.control.Rd
geoRglm/man/plot.covariogram.Rd
geoRglm/man/glsm.mcmc.Rd
geoRglm/man/krige.glm.control.Rd
geoRglm/man/likfit.glsm.Rd
geoRglm/man/asympvar.Rd
geoRglm/man/model.glm.control.Rd
geoRglm/man/hist.glm.krige.bayes.Rd
geoRglm/man/proflik.glsm.Rd
geoRglm/man/b50.Rd
geoRglm/man/binom.krige.bayes.Rd
geoRglm/man/create.mcmc.coda.Rd
geoRglm/man/summary.likGLSM.Rd
geoRglm/man/binom.krige.Rd
geoRglm/man/geoRglm-internal.Rd
geoRglm/man/geoRglm-defunct.Rd
geoRglm/man/rongelap.Rd
geoRglm/man/output.glm.control.Rd
geoRglm/man/lines.covariomodel.Rd
geoRglm/man/pois.krige.Rd