highlight.borders

A K by K matrix, where K is the number of areas, containing 3 distinct values: 
NA for non-neighbouring areas; 0 for borders between neighbouring areas to be 
highlighted on a map; and 1 for borders between neighbouring areas not to be 
highlighted on a map.

border.locations

The MULTIPOLYGON (from the sf package) object used for plotting the data and 
creating the original neighbourhood matrix W.

sfdata

Creates a MULTIPOINT object (from the sf package) identifying a subset of borders 
between neighbouring areas, which allows them to be overlayed on a map. 
An example is given in the vignette accompanying this 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. 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.

Duncan Lee

CARBayes

Spatial Generalised Linear Mixed Models for Areal Unit Data

highlight.borders function

<dl> <dt>border.locations</dt>
<dd>A K by K matrix, where K is the number of areas, containing 3 distinct values: 
NA for non-neighbouring areas; 0 for borders between neighbouring areas to be 
highlighted on a map; and 1 for borders between neighbouring areas not to be 
highlighted on a map.</dd> <dt>sfdata</dt>
<dd>The MULTIPOLYGON (from the sf package) object used for plotting the data and 
creating the original neighbourhood matrix W.</dd></dl>

Arguments

Author

Creates a MULTIPOINT object (from the sf package) identifying a subset of borders 
between neighbouring areas. — highlight.borders

<dl>

 <dt>border.locations</dt>
<dd>A K by K matrix, where K is the number of areas, containing 3 distinct values: 
NA for non-neighbouring areas; 0 for borders between neighbouring areas to be 
highlighted on a map; and 1 for borders between neighbouring areas not to be 
highlighted on a map.</dd>

 <dt>sfdata</dt>
<dd>The MULTIPOLYGON (from the sf package) object used for plotting the data and 
creating the original neighbourhood matrix W.</dd>

</dl>

highlight.borders: Creates a MULTIPOINT object (from the sf package) identifying a subset of borders between neighbouring areas.

Description

Usage

Value

Arguments

Author

Examples