scan_pb_perm_cpp

Calculate the space-time permutation scan statistic (Kulldorff 2005) and 
Monte Carloo replicates.

internal

Detection of anomalous space-time clusters using the scan
statistics methodology. Focuses on prospective surveillance of data streams,
scanning for clusters with ongoing anomalies. Hypothesis testing is made
possible by Monte Carlo simulation. Allévius (2018) <doi:10.21105/joss.00515>.

Paul Romer Present

scanstatistics

Space-Time Anomaly Detection using Scan Statistics

Benjamin Allévius

scan_pb_perm_cpp function

<dl><dt>counts</dt>
<dd>An integer matrix (most recent timepoint in first row).</dd>
<dt>baselines</dt>
<dd>A matrix with positive entries (most recent timepoint in 
first row).</dd>
<dt>zones</dt>
<dd>An integer vector (all zones concatenated; locations indexed 
from 0 and up)</dd>
<dt>zone_lengths</dt>
<dd>An integer vector.</dd>
<dt>store_everything</dt>
<dd>A boolean.</dd>
<dt>num_mcsim</dt>
<dd>An integer.</dd></dl>

Arguments

Calculate the space-time permutation scan statistic. — scan_pb_perm_cpp

<dl>

<dt>counts</dt>
<dd>An integer matrix (most recent timepoint in first row).</dd>


<dt>baselines</dt>
<dd>A matrix with positive entries (most recent timepoint in 
first row).</dd>


<dt>zones</dt>
<dd>An integer vector (all zones concatenated; locations indexed 
from 0 and up)</dd>


<dt>zone_lengths</dt>
<dd>An integer vector.</dd>


<dt>store_everything</dt>
<dd>A boolean.</dd>


<dt>num_mcsim</dt>
<dd>An integer.</dd>

</dl>

scan_pb_perm_cpp: Calculate the space-time permutation scan statistic.

Description

Usage

Value

Arguments