mc.pvalue

<code>mc.pvalue</code> computes the Monte Carlo p-value of each
element of <code>tobs</code> using the relationship
<code>(sum(tsim &gt;= x) + 1)/(nsim + 1)</code> where <code>x</code> is
a specific element of <code>tobs</code> and <code>nsim =
length(tsim)</code>.

internal

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

mc.pvalue function

<dl><dt>tobs</dt>
<dd>A vector observed test statistics</dd>
<dt>tsim</dt>
<dd>A vector of test statistics from simulated
data</dd></dl>

Arguments

Compute Monte Carlo p-value — mc.pvalue

<dl>

<dt>tobs</dt>
<dd>A vector observed test statistics</dd>


<dt>tsim</dt>
<dd>A vector of test statistics from simulated
data</dd>

</dl>

mc.pvalue: Compute Monte Carlo p-value

Description

Usage

Value

Arguments

Examples