zip_mcsim

A <code>data.table</code> with columns <code>location, duration, p,
mu</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

Arguments passed to <code><a rd-options="" href="/link/simulate_zip_scanstatistic?package=scanstatistics&version=0.1.0" data-mini-rdoc="scanstatistics::simulate_zip_scanstatistic">simulate_zip_scanstatistic</a></code>.

This function generates <code>n_mcsim</code> Poisson-distributed data sets 
according to the parameters in the input table, and calculates the value of
the scan statistic for each generated data set using the supplied 
<code>zones</code>.

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

zip_mcsim function

Arguments passed to <code><a rd-options='' href='simulate_zip_scanstatistic'>simulate_zip_scanstatistic</a></code>.

zip_mcsim: Monte Carlo simulation of expectation-based Poisson scan statistics.

Description

Usage

Arguments

Value