estimate_zip_params

Heuristically estimate the ZIP distribution Poisson mean parameters and the 
structural zero probabilities for each location and time point. Assumes the 
structural zero probability is 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_zip_params function

<dl><dt>counts</dt>
<dd>A matrix or vector of observed counts. Rows indicate time 
(ordered from most recent) and columns indicate locations. If a vector,
the elements are assumed to be the counts for each location.</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>min_p</dt>
<dd>The minimum value you think possible for the structural zero
probability.</dd>
<dt>min_mu</dt>
<dd>The mimum value you think possible for the Poisson mean 
parameter of the ZIP distribution (before adjusting for population size).</dd></dl>

Arguments

Estimate the parameters of a ZIP distribution. — estimate_zip_params

<dl>

<dt>counts</dt>
<dd>A matrix or vector of observed counts. Rows indicate time 
(ordered from most recent) and columns indicate locations. If a vector,
the elements are assumed to be the counts for each location.</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>min_p</dt>
<dd>The minimum value you think possible for the structural zero
probability.</dd>


<dt>min_mu</dt>
<dd>The mimum value you think possible for the Poisson mean 
parameter of the ZIP distribution (before adjusting for population size).</dd>

</dl>

estimate_zip_params: Estimate the parameters of a ZIP distribution.

Description

Usage

Value

Arguments