example_count_data

Synthetic county-level example count data for package examples and tests.
Generation included a synthetic injection of cases near the end of the time
series to ensure that clusters are detected in this example dataset.

datasets

Provides utilities for manipulating time series of location-based counts of events to detect geo-spatial clusters. Significance of these clusters is determined using a set of models that classify based on a learned relationship between observed and the log(observed/expected) ratio of counts. The approach implemented here is similar to prospective space-time estimation of clusters using the scan statistic.

Luke Mullany

gsClusterDetect

Utilities for Geo-Spatial Cluster Detection and Significance
Classification

Howard Burkom

example_count_data function

A data frame with 11,264 rows and 4 columns:<dl>
 <dt>location</dt>
<dd>county FIPS code as character</dd> <dt>date</dt>
<dd>date of observation</dd> <dt>count</dt>
<dd>non-negative integer daily count</dd>
</dl>

Format

Example Count Dataset — example_count_data

A data frame with 11,264 rows and 4 columns:<dl>
 <dt>location</dt>
<dd>county FIPS code as character</dd>

 <dt>date</dt>
<dd>date of observation</dd>

 <dt>count</dt>
<dd>non-negative integer daily count</dd>


</dl>

example_count_data: Example Count Dataset

Description

Usage

Arguments

Format