Spatial Generalised Linear Mixed Models for Areal Unit Data


[Up] [Top]

Documentation for package ‘CARBayes’ version 5.2.3

Help Pages

CARBayes-package Spatial Generalised Linear Mixed Models for Areal Unit Data
CARBayes 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 SpatialPolygonsDataFrame object.
fitted.CARBayes Extract the fitted values from a model.
highlight.borders Creates a SpatialPoints object identifying a subset of borders between neighbouring areas.
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 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.
residuals.CARBayes Extract the residuals from a model.
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.
S.CARmultilevel Fit a spatial generalised linear mixed model to multi-level areal unit data, where the spatial random effects have a Leroux conditional autoregressive prior and there are also individual or small group level random effects.
S.glm Fit a generalised linear model to data.
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.