negbin_mcsim

A <code>data.table</code> with at least the columns <code>mu</code> and
<code>theta</code>. The parameter \(\theta\) (theta) is the same as 
<code>size</code> in <code><a rd-options="stats" href="/link/rnbinom?package=scanstatistics&version=0.1.0&to=stats" data-mini-rdoc="stats::rnbinom">rnbinom</a></code>.

table

A <code>set</code> of zones, each zone itself being a <code>set</code>
containing locations. Locations should be encoded as integers.

zones

A positive integer; the number of replicate scan 
statistics to generate.

n_mcsim

Either "ordinary" (default) or "increasing".

version

This function generates <code>n_mcsim</code> negative binomial-distributed 
data sets according to the parameters in the input table, and calculates the 
value of the score scan statistic for each generated data set using the 
supplied <code>zones</code>. The score can be calculated either according to the 
ordinary cluster model or the increasing outbreak/event/anomaly model.

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 the generation of Monte Carlo p-values.

Benjamin Kjellson

scanstatistics

Space-Time Anomaly Detection using Scan Statistics

negbin_mcsim function

A <code>data.table</code> with at least the columns <code>mu</code> and
<code>theta</code>. The parameter \(\theta\) (theta) is the same as 
<code>size</code> in <code><a rd-options='stats' href='rnbinom'>rnbinom</a></code>.

negbin_mcsim: Monte Carlo simulation of negative binomial score scan statistics.

Description

Usage

Arguments

Value