CARBayes: Spatial Areal Unit Modelling
Implements Bayesian hierarchical spatial areal unit models. In such models the spatial autocorrelation is modelled by a set of random effects, which are assigned a conditional autoregressive (CAR) prior distribution. Examples of the models included are the BYM model as well as a recently developed localised spatial smoothing model.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 is supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1.
||R (≥ 2.10.0), MASS, Rcpp (≥ 0.10.6)
||truncdist, spam, coda, sp
||boot, deldir, foreign, grid, maptools, Matrix, nlme, shapefiles, spdep, splines
||Duncan Lee <Duncan.Lee at glasgow.ac.uk>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
||CARBayes citation info