Implements a class of univariate and multivariate spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian or Poisson, and spatial autocorrelation is modelled by a set of random effects that are assigned a conditional autoregressive (CAR) prior distribution. A number of different models are available for univariate spatial data, including models with no random effects as well as random effects modelled by different types of CAR prior. Additionally, a multivariate CAR (MCAR) model for multivariate spatial data is available, as is a twolevel hierarchical model for individuals within areas. Full details are given in the vignette accompanying this package. The initial creation of this package was supported by the Economic and Social Research Council (ESRC) grant RES000224256, and ongoing development has / is supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1, ESRC grant ES/K006460/1, and Innovate UK / Natural Environment Research Council (NERC) grant NE/N007352/1.
Package details 


Author  Duncan Lee 
Maintainer  Duncan Lee <[email protected]> 
License  GPL (>= 2) 
Version  5.0 
URL  http://github.com/duncanplee/CARBayes 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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