Spatial Generalised Linear Mixed Models for Areal Unit Data


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Documentation for package ‘CARBayes’ version 4.6

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CARBayes-package Spatial Generalised Linear Mixed Models for Areal Unit Data
CARBayes Spatial Generalised Linear Mixed Models for Areal Unit Data
combine.data.shapefile Combines a data frame with a shapefile to create a SpatialPolygonsDataFrame object.
highlight.borders Creates a SpatialPoints object identifying a subset of borders between neighbouring areas.
MVS.CARleroux Fit a multivariate spatial generalised linear mixed model to data, where the random effects are modelled by a multivariate conditional autoregressive model.
print.carbayes Print a summary of a fitted carbayes model to the screen.
S.CARbym Fit a spatial generalised linear mixed model to data, where the random effects have a BYM conditional autoregressive prior.
S.CARdissimilarity Fit a spatial generalised linear mixed model to data, where the random effects have a localised conditional autoregressive prior.
S.CARleroux Fit a spatial generalised linear mixed model to data, where the random effects have a Leroux conditional autoregressive prior.
S.CARlocalised Fit a spatial generalised linear mixed model to data, where a set of spatially smooth random effects are augmented with a piecewise constant intercept process.
summarise.lincomb Compute the posterior distribution for a linear combination of the covariates from the linear predictor.
summarise.samples Summarise a matrix of Markov chain Monte Carlo samples.