zip_statistic

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

table

Any of the following named parameters:<dl class="dl-horizontal">
 <dt>maxdur</dt><dd>As in <code><a rd-options="" href="/link/calc_zipstat_over_duration?package=scanstatistics&version=0.1.0" data-mini-rdoc="scanstatistics::calc_zipstat_over_duration">calc_zipstat_over_duration</a></code>.</dd>
 <dt>d_init</dt><dd>As in <code>link{window_zip_statistic}</code>.</dd>
 <dt>tol</dt><dd>As in <code>link{window_zip_statistic}</code>.</dd>
</dl>

Calculates the zero-inflated Poisson statistic for each space-time window,
using the EM algorithm.

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_statistic function

Any of the following named parameters:<dl class='dl-horizontal'>
 <dt>maxdur</dt><dd>As in <code><a rd-options='' href='calc_zipstat_over_duration'>calc_zipstat_over_duration</a></code>.</dd>
 <dt>d_init</dt><dd>As in <code>link{window_zip_statistic}</code>.</dd>
 <dt>tol</dt><dd>As in <code>link{window_zip_statistic}</code>.</dd>
</dl>

zip_statistic: Calculates the ZIP statistic for each space-time window.

Description

Usage

Arguments

Value