CARBayes-package |
Spatial Areal Unit Modelling |
CARBayes |
Spatial Areal Unit Modelling |
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.CARcluster |
Fit a spatial generalised linear mixed model to data, where the random effects have a localised clustered 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.CARiar |
Fit a spatial generalised linear mixed model to data, where the random effects have an intrinsic 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.independent |
Fit a spatial generalised linear mixed model to data, where the random effects are independent. |
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. |