generate_zip_counts

A <code>data.table</code> with columns <code>mu</code> and <code>p</code>. These
correspond to the parameters <code>mu</code> and <code>sigma</code> in 
<code><a rd-options="gamlss.dist" href="/link/rZIP?package=scanstatistics&version=0.1.0&to=gamlss.dist" data-mini-rdoc="gamlss.dist::rZIP">rZIP</a></code>; the former is the Poisson expected value
parameter and the latter is the excess zero probability.

table

A scalar; if the excess zero probability is less than this 
value the count will be generated from a Poisson distribution.

abs_tol

This function randomly generates counts from a zero-inflated Poisson 
distribution according to the parameters on each row of the input 
<code>data.table</code>, and adds the counts to a new column <code>count</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

generate_zip_counts function

A <code>data.table</code> with columns <code>mu</code> and <code>p</code>. These
correspond to the parameters <code>mu</code> and <code>sigma</code> in 
<code><a rd-options='gamlss.dist' href='rZIP'>rZIP</a></code>; the former is the Poisson expected value
parameter and the latter is the excess zero probability.

generate_zip_counts: Randomly generate and add ZIP-distributed counts to a table.

Description

Usage

Arguments

Value