morancr.sim

<code>morancr.stat</code> computes the constant-risk version of the Moran's I
statistic proposed by Walter (1992).

Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, which were first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.

Joshua French

smerc

Statistical Methods for Regional Counts

Mohammad Meysami

morancr.sim function

<dl><dt>nsim</dt>
<dd>The number of simulations from which to
compute the p-value.</dd>
<dt>cases</dt>
<dd>The number of cases observed in each region.</dd>
<dt>w</dt>
<dd>A binary spatial adjacency matrix for the
regions.</dd>
<dt>ex</dt>
<dd>The expected number of cases for each region.
The default is calculated under the constant risk
hypothesis.</dd></dl>

Arguments

Author

Constant-risk Moran's I statistic — morancr.sim

<dl>

<dt>nsim</dt>
<dd>The number of simulations from which to
compute the p-value.</dd>


<dt>cases</dt>
<dd>The number of cases observed in each region.</dd>


<dt>w</dt>
<dd>A binary spatial adjacency matrix for the
regions.</dd>


<dt>ex</dt>
<dd>The expected number of cases for each region.
The default is calculated under the constant risk
hypothesis.</dd>

</dl>

morancr.sim: Constant-risk Moran's I statistic

Description

Usage

Value

Arguments

Author

References

See Also

Examples