spline_05

Spline threshold lookup table, p-value = 0.05

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

spline_05 function

A data frame with 399 rows and 2 columns:<dl>
 <dt>observed</dt>
<dd>number of observed in cluster</dd> <dt>spl_thresh</dt>
<dd>log observed-over-expected above which
 cluster is significant at the 0.05 level</dd>
</dl>

Format

Spline Lookup Table - 0.05 — spline_05

A data frame with 399 rows and 2 columns:<dl>
 <dt>observed</dt>
<dd>number of observed in cluster</dd>

 <dt>spl_thresh</dt>
<dd>log observed-over-expected above which
 cluster is significant at the 0.05 level</dd>


</dl>

spline_05: Spline Lookup Table - 0.05

Description

Usage

Arguments

Format