Implements a class of univariate and multivariate 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, including models similar to Rushworth et al. (2014) <doi:10.1016/j.sste.2014.05.001>. Full details are given in the vignette accompanying this package. The creation and development of this package was supported by the Engineering and Physical Sciences Research Council (EPSRC) grants EP/J017442/1 and EP/T004878/1 and the Medical Research Council (MRC) grant MR/L022184/1.
Version: 4.0 Depends: MASS, R (≥ 3.5.0), Rcpp (≥ 0.11.5) Imports: CARBayesdata, coda, dplyr, GGally, ggplot2, gridExtra, gtools, leaflet, matrixStats, MCMCpack, parallel, sf, spam, spdep, stats, truncdist, truncnorm, utils LinkingTo: Rcpp Published: 2023-10-30 DOI: 10.32614/CRAN.package.CARBayesST Author: Duncan Lee, Alastair Rushworth, Gary Napier and William Pettersson Maintainer: Duncan Lee <Duncan.Lee at glasgow.ac.uk> BugReports: https://github.com/duncanplee/CARBayesST/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/duncanplee/CARBayesST NeedsCompilation: yes Citation: CARBayesST citation info In views: Bayesian, MixedModels, SpatioTemporal CRAN checks: CARBayesST results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=CARBayesST to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4