estimate_baselines

Estimate the baselines (expected values) for the supplied counts.

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_baselines function

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

Arguments

Estimate baselines based on observed counts. — estimate_baselines

<dl>

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

</dl>

estimate_baselines: Estimate baselines based on observed counts.

Description

Usage

Value

Arguments