lipcancer

A list containing the data frame and neighborhood matrix based on 56 districts of Scotland that is with the following variables

datasets

Fits Leroux model in spectral domain to estimate causal spatial effect as detailed in
Guan, Y; Page, G.L.; Reich, B.J.; Ventrucci, M.; Yang, S; (2020) <arXiv:2012.11767>.
Both the parametric and semi-parametric models are available. The semi-parametric model
relies on 'INLA'. The 'INLA' package can be obtained from <https://www.r-inla.org/>.

Garritt L. Page

eCAR

Eigenvalue CAR Models

Massimo Ventrucci

S. McKay Curtis

Radford M. Neal

lipcancer function

data: A data frame with 56 rows and the following 6 variables:<dl>
 <dt>observed</dt>
<dd>observed number of cancer cases</dd> <dt>expected</dt>
<dd>the expected number of lip cancer cases computed using indirect standardisation based on Scotland-wide disease rates</dd> <dt>pcaff</dt>
<dd>percentage of the district’s workforce employed in agriculture, fishing and forestry</dd> <dt>latitude</dt>
<dd>latitude coordinates</dd> <dt>longitude</dt>
<dd>longitude coordinates</dd> <dt>name</dt>
<dd>name</dd>
</dl>neighborhood.Matrix: A 56 x 56 matrix neighbhorhood matrix

Format

Number of recorded lip cancer cases in the 56 districts of Scotland. — lipcancer

data: A data frame with 56 rows and the following 6 variables:<dl>
 <dt>observed</dt>
<dd>observed number of cancer cases</dd>

 <dt>expected</dt>
<dd>the expected number of lip cancer cases computed using indirect standardisation based on Scotland-wide disease rates</dd>

 <dt>pcaff</dt>
<dd>percentage of the district’s workforce employed in agriculture, fishing and forestry</dd>

 <dt>latitude</dt>
<dd>latitude coordinates</dd>

 <dt>longitude</dt>
<dd>longitude coordinates</dd>

 <dt>name</dt>
<dd>name</dd>


</dl>

neighborhood.Matrix: A 56 x 56 matrix neighbhorhood matrix

lipcancer: Number of recorded lip cancer cases in the 56 districts of Scotland.

Description

Usage

Arguments

Format