CARBayes: Spatial Generalised Linear Mixed Models for Areal Unit Data
Version 4.7

Implements a class of univariate and multivariate spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian or Poisson. Spatial autocorrelation is modelled by a set of random effects, which are assigned a conditional autoregressive (CAR) prior distribution. A number of different CAR priors are available for the random effects, including a multivariate CAR (MCAR) model for multivariate spatial data. Full details are given in the vignette accompanying this package. The initial creation of this package was supported by the Economic and Social Research Council (ESRC) grant RES-000-22-4256, and on-going development was supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1.

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AuthorDuncan Lee
Date of publication2017-02-01 16:12:02
MaintainerDuncan Lee <Duncan.Lee@glasgow.ac.uk>
LicenseGPL (>= 2)
Version4.7
URL http://github.com/duncanplee/CARBayes
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("CARBayes")

Man pages

CARBayes-package: Spatial Generalised Linear Mixed Models for Areal Unit Data
coef.CARBayes: Extract the regression coefficients from a model.
combine.data.shapefile: Combines a data frame with a shapefile to create a...
fitted.CARBayes: Extract the fitted values from a model.
highlight.borders: Creates a SpatialPoints object identifying a subset of...
logLik.CARBayes: Extract the estimated loglikelihood from a fitted model.
model.matrix.CARBayes: Extract the Model (design) matrix from a model.
MVS.CARleroux: Fit a multivariate spatial generalised linear mixed model to...
print.CARBayes: Print a summary of a fitted CARBayes model to the screen.
residuals.CARBayes: Extract the residuals from a model.
S.CARbym: Fit a spatial generalised linear mixed model to data, where...
S.CARdissimilarity: Fit a spatial generalised linear mixed model to data, where...
S.CARleroux: Fit a spatial generalised linear mixed model to data, where...
S.CARlocalised: Fit a spatial generalised linear mixed model to data, where a...
summarise.lincomb: Compute the posterior distribution for a linear combination...
summarise.samples: Summarise a matrix of Markov chain Monte Carlo samples.

Functions

CARBayes Man page
CARBayes-package Man page
MVS.CARleroux Man page Source code
S.CARbym Man page Source code
S.CARdissimilarity Man page Source code
S.CARleroux Man page Source code
S.CARlocalised Man page Source code
binomial.MVlerouxCAR Source code
binomial.bymCAR Source code
binomial.dissimilarityCAR Source code
binomial.lerouxCAR Source code
binomial.localisedCAR Source code
binomialbetaupdateMALA Source code
binomialbetaupdateRW Source code
binomialcarupdate Source code
binomialindepupdate Source code
binomialmcarupdate Source code
coef.CARBayes Man page Source code
combine.data.shapefile Man page Source code
common.Wcheckformat Source code
common.Wcheckformat.disimilarity Source code
common.Wcheckformat.leroux Source code
common.accceptrates1 Source code
common.accceptrates2 Source code
common.betablock Source code
common.betatransform Source code
common.burnin.nsample.thin.check Source code
common.frame Source code
common.frame.localised Source code
common.verbose Source code
fitted.CARBayes Man page Source code
gaussian.dissimilarityCAR Source code
gaussian.lerouxCAR Source code
gaussiancarupdate Source code
highlight.borders Man page Source code
linpredcompute Source code
logLik.CARBayes Man page Source code
model.matrix.CARBayes Man page Source code
poisson.MVlerouxCAR Source code
poisson.bymCAR Source code
poisson.dissimilarityCAR Source code
poisson.lerouxCAR Source code
poisson.localisedCAR Source code
poissonbetaupdateMALA Source code
poissonbetaupdateRW Source code
poissoncarupdate Source code
poissonindepupdate Source code
poissonmcarupdate Source code
print.CARBayes Man page Source code
prior.beta.check Source code
prior.var.check Source code
prior.varmat.check Source code
quadform Source code
residuals.CARBayes Man page Source code
summarise.lincomb Man page Source code
summarise.samples Man page Source code

Files

inst
inst/CITATION
inst/doc
inst/doc/CARBayes.pdf
inst/doc/CARBayes.Rnw
inst/doc/CARBayes.R
src
src/RcppExports.cpp
src/CARBayes.cpp
NAMESPACE
R
R/poisson.dissimilarityCAR.R
R/poisson.bymCAR.R
R/poisson.localisedCAR.R
R/highlight.borders.R
R/fitted.carbayes.R
R/poisson.MVlerouxCAR.R
R/model.matrix.carbayes.R
R/combine.data.shapefile.R
R/S.CARbym.R
R/residuals.carbayes.R
R/binomial.dissimilarityCAR.R
R/S.CARdissimilarity.R
R/summarise.samples.R
R/S.CARleroux.R
R/binomial.bymCAR.R
R/binomial.MVlerouxCAR.R
R/RcppExports.R
R/gaussian.dissimilarityCAR.R
R/binomial.lerouxCAR.R
R/S.CARlocalised.R
R/binomial.localisedCAR.R
R/common.functions.R
R/print.carbayes.R
R/poisson.lerouxCAR.R
R/MVS.CARleroux.R
R/summarise.lincomb.R
R/coef.carbayes.R
R/gaussian.lerouxCAR.R
R/logLik.carbayes.R
vignettes
vignettes/CARBayesvignette-015.pdf
vignettes/pricemap.png
vignettes/crimeplot.png
vignettes/CARBayesvignette-016.pdf
vignettes/CARBayes.Rnw
vignettes/CARBayesvignette-014.pdf
vignettes/CARBayesvignette-017.pdf
vignettes/CARBayesvignette-008.pdf
vignettes/CARBayesvignette-018.pdf
vignettes/smrmap.png
vignettes/CARBayesvignette-006.pdf
vignettes/CARBayesvignette-019.pdf
vignettes/boundarymap.png
vignettes/CARBayesvignette-007.pdf
vignettes/jss996.bib
MD5
build
build/vignette.rds
DESCRIPTION
man
man/summarise.lincomb.Rd
man/S.CARleroux.Rd
man/logLik.CARBayes.Rd
man/summarise.samples.Rd
man/coef.CARBayes.Rd
man/combine.data.shapefile.Rd
man/model.matrix.CARBayes.Rd
man/S.CARbym.Rd
man/fitted.CARBayes.Rd
man/CARBayes-package.Rd
man/print.CARBayes.Rd
man/highlight.borders.Rd
man/residuals.CARBayes.Rd
man/S.CARlocalised.Rd
man/MVS.CARleroux.Rd
man/S.CARdissimilarity.Rd
CARBayes documentation built on May 20, 2017, 3:30 a.m.