estimate_variances

Estimate the variances for the supplied counts. It is assumed that variances
are constant over time for each location.

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

estimate_variances function

<dl><dt>counts</dt>
<dd>A matrix of observed counts. Rows indicate time (ordered from 
most recent) and columns indicate locations.</dd>
<dt>baselines</dt>
<dd>A matrix of the same dimensions as <code>counts</code> (optional).</dd>
<dt>population</dt>
<dd>A matrix or vector of populations for each location 
(optional). If a matrix, should be of the same dimensions as 
<code>counts</code>. If a vector, should be of the same length as the number of
columns in <code>counts</code>.</dd>
<dt>constant_dim</dt>
<dd>An integer. If equal to 1, variances are assumed to be
constant over time but different between locations. If equal to 2, 
variances are assumed to vary over time but at each time point be equal 
for all locations.</dd></dl>

Arguments

Estimate variances based on observed counts. — estimate_variances

<dl>

<dt>counts</dt>
<dd>A matrix of observed counts. Rows indicate time (ordered from 
most recent) and columns indicate locations.</dd>


<dt>baselines</dt>
<dd>A matrix of the same dimensions as <code>counts</code> (optional).</dd>


<dt>population</dt>
<dd>A matrix or vector of populations for each location 
(optional). If a matrix, should be of the same dimensions as 
<code>counts</code>. If a vector, should be of the same length as the number of
columns in <code>counts</code>.</dd>


<dt>constant_dim</dt>
<dd>An integer. If equal to 1, variances are assumed to be
constant over time but different between locations. If equal to 2, 
variances are assumed to vary over time but at each time point be equal 
for all locations.</dd>

</dl>

estimate_variances: Estimate variances based on observed counts.

Description

Usage

Value

Arguments