| 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. |
| 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. |