CARBayesST (2.5)

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Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data.

http://github.com/duncanplee/CARBayesST
http://cran.r-project.org/web/packages/CARBayesST

Implements a class of spatio-temporal 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, but for some models only the binomial and Poisson data likelihoods are available. The spatio-temporal autocorrelation is modelled by random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number of different random effects structures are available, and full details are given in the vignette accompanying this package and the references in the help files. The creation of this package was supported by the Engineering and Physical Sciences Research Council (EPSRC) grant EP/J017442/1 and the Medical Research Council (MRC) grant MR/L022184/1.

Maintainer: Duncan Lee
Author(s): Duncan Lee, Alastair Rushworth and Gary Napier

License: GPL (>= 2)

Uses: CARBayesdata, coda, dplyr, MASS, matrixcalc, Rcpp, sp, spam, spdep, testthat, truncdist, truncnorm

Released 2 months ago.


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