Package: CARBayes
Type: Package
Title: Spatial Generalised Linear Mixed Models for Areal Unit Data
Version: 4.7
Date: 2017-02-01
Author: Duncan Lee
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>
Description: 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. Spatial autocorrelation is modelled by  a set of random effects, which are assigned a conditional autoregressive (CAR) prior distribution. A number of different CAR priors are available for the random effects, including a multivariate CAR (MCAR) model for multivariate spatial data. 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 RES-000-22-4256, and on-going development was supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1.
License: GPL (>= 2)
Depends: MASS, R (>= 3.0.0), Rcpp (>= 0.11.5)
Imports: CARBayesdata, coda, matrixcalc, MCMCpack, sp, spam, spdep,
        stats, truncnorm, utils
Suggests: boot, deldir, foreign, grid, maptools, Matrix, nlme,
        shapefiles, splines
LinkingTo: Rcpp
LazyLoad: yes
ByteCompile: yes
URL: http://github.com/duncanplee/CARBayes
BugReports: http://github.com/duncanplee/CARBayes/issues
NeedsCompilation: yes
Packaged: 2017-01-31 11:43:40 UTC; duncanlee
Repository: CRAN
Date/Publication: 2017-02-01 16:12:02
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 07:47:55 UTC; windows
Archs: i386, x64
