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CARBayes
View on CRAN: Click
here
Download and install CARBayes package within the R console
Install from CRAN:
install.packages("CARBayes")
Install from Github:
library("remotes")
install_github("cran/CARBayes")
Install by package version:
library("remotes")
install_version("CARBayes", "6.1.1")
Attach the package and use:
library("CARBayes")
Maintained by
Duncan Lee
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-03-27
Latest Update: 2023-08-09
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 using a single or multiple Markov chains. The response variable can be binomial, Gaussian, multinomial, Poisson or zero-inflated Poisson (ZIP), 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, including the BYM model (Besag et al., 1991, ) and Leroux model (Leroux et al., 2000, ). Additionally, a multivariate CAR (MCAR) model for multivariate spatial data is available, as is a two-level hierarchical model for modelling data relating to 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 RES-000-22-4256, and on-going development has been supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1, ESRC grant ES/K006460/1, Innovate UK / Natural Environment Research Council (NERC) grant NE/N007352/1 and the TB Alliance.
How to cite:
Duncan Lee (2012). CARBayes: Spatial Generalised Linear Mixed Models for Areal Unit Data. R package version 6.1.1, https://cran.r-project.org/web/packages/CARBayes
Previous versions and publish date:
1.0 (2012-03-27 16:22), 1.1 (2012-08-27 12:50), 1.2 (2012-10-31 16:39), 1.3 (2013-03-05 16:02), 1.4 (2013-05-06 21:33), 1.5 (2013-09-02 21:53), 1.6 (2013-11-05 09:43), 2.0 (2013-12-04 07:39), 3.0 (2014-04-04 18:44), 4.0 (2014-12-16 17:35), 4.1 (2015-04-01 08:04), 4.2 (2015-06-30 18:13), 4.3 (2015-09-16 12:47), 4.4 (2016-02-03 22:04), 4.5 (2016-05-07 01:27), 4.6 (2016-06-08 15:40), 4.7 (2017-02-01 16:12), 5.0 (2017-06-01 12:58), 5.1.1 (2018-12-06 12:50), 5.1.2 (2019-06-21 17:10), 5.1.3 (2019-12-12 10:30), 5.1 (2018-09-10 13:00), 5.2.2 (2021-01-15 14:10), 5.2.3 (2021-02-03 10:10), 5.2.4 (2021-05-31 09:40), 5.2.5 (2021-09-30 10:10), 5.2 (2020-03-13 09:50), 5.3 (2022-05-12 17:20), 6.0 (2023-08-09 19:50), 6.1 (2023-11-17 12:40)
Other packages that cited CARBayes R package
View CARBayes citation profile
Other R packages that CARBayes depends,
imports, suggests or enhances
Functions, R codes and Examples using
the CARBayes R package
Some associated functions: CARBayes-package . MVS.CARleroux . S.CARbym . S.CARdissimilarity . S.CARleroux . S.CARlocalised . S.CARmultilevel . S.glm . coef.CARBayes . fitted.CARBayes . highlight.borders . logLik.CARBayes . model.matrix.CARBayes . print.CARBayes . residuals.CARBayes .
Some associated R codes: MVS.CARleroux.R . RcppExports.R . S.CARbym.R . S.CARdissimilarity.R . S.CARleroux.R . S.CARlocalised.R . S.CARmultilevel.R . S.glm.R . binomial.MVlerouxCAR.R . binomial.bymCAR.R . binomial.dissimilarityCAR.R . binomial.glm.R . binomial.lerouxCAR.R . binomial.localisedCAR.R . binomial.multilevelCAR.R . coef.CARBayes.R . common.functions.R . fitted.CARBayes.R . gaussian.MVlerouxCAR.R . gaussian.dissimilarityCAR.R . gaussian.glm.R . gaussian.lerouxCAR.R . gaussian.multilevelCAR.R . highlight.borders.R . logLik.CARBayes.R . model.matrix.CARBayes.R . multinomial.MVlerouxCAR.R . multinomial.glm.R . poisson.MVlerouxCAR.R . poisson.bymCAR.R . poisson.dissimilarityCAR.R . poisson.glm.R . poisson.lerouxCAR.R . poisson.localisedCAR.R . poisson.multilevelCAR.R . print.CARBayes.R . residuals.CARBayes.R . zip.bymCAR.R . zip.glm.R . zip.lerouxCAR.R . Full CARBayes package functions and examples
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