residuals.CARBayes

This function takes a CARBayes object and returns a set of residuals. The 
 allowable types of residual are "response" (raw) and "pearson" (the default).
 In each case the fitted values are based on posterior means.

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.

Duncan Lee

CARBayes

Spatial Generalised Linear Mixed Models for Areal Unit Data

residuals.CARBayes function

<dl> <dt>object</dt>
<dd>A CARBayes fitted model object.</dd> <dt>type</dt>
<dd>A text string and one of "response" or "pearson". If this
 argument is omitted the default is "pearson".</dd> <dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Author

Extract the residuals from a model. — residuals.CARBayes

<dl>

 <dt>object</dt>
<dd>A CARBayes fitted model object.</dd>

 <dt>type</dt>
<dd>A text string and one of "response" or "pearson". If this
 argument is omitted the default is "pearson".</dd>

 <dt>...</dt>
<dd>Ignored.</dd>

</dl>

residuals.CARBayes: Extract the residuals from a model.

Description

Usage

Arguments

Author