CARBayes

Spatial Generalised Linear Mixed Models for Areal Unit Data

CRAN Package

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, doi:10.1007/BF00116466) and Leroux model (Leroux et al., 2000, doi:10.1007/978-1-4612-1284-3_4). 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.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 1,177 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 15 times.

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0 downloadsFeb 9, 2025
0 downloadsFeb 10, 2025
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0 downloadsFeb 12, 2025
52 downloadsFeb 13, 2025
15 downloadsFeb 14, 2025
41 downloadsFeb 15, 2025
20 downloadsFeb 16, 2025
53 downloadsFeb 17, 2025
41 downloadsFeb 18, 2025
73 downloadsFeb 19, 2025
128 downloadsFeb 20, 2025
49 downloadsFeb 21, 2025
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31 downloadsFeb 25, 2025
88 downloadsFeb 26, 2025
16 downloadsFeb 27, 2025
16 downloadsFeb 28, 2025
16 downloadsMar 1, 2025
23 downloadsMar 2, 2025
52 downloadsMar 3, 2025
24 downloadsMar 4, 2025
84 downloadsMar 5, 2025
26 downloadsMar 6, 2025
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15 downloadsMar 8, 2025
26 downloadsMar 9, 2025
54 downloadsMar 10, 2025
31 downloadsMar 11, 2025
32 downloadsMar 12, 2025
43 downloadsMar 13, 2025
15 downloadsMar 14, 2025
0 downloadsMar 15, 2025
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128

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 54,949 times in the last 365 days. An impressive feat! Enough downloads to make even seasoned academics take note. The day with the most downloads was Apr 10, 2024 with 965 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends2 packages
  • Imports12 packages
  • Linking To1 package
  • Reverse Imports1 package
  • Reverse Enhances1 package