uncertainty

TOC internal function. It calculates uncertainty in AUC calculation

 spatial 

Construction of the Total Operating Characteristic (TOC) Curve and the Receiver (aka Relative) Operating Characteristic (ROC) Curve for spatial and non-spatial data. The TOC method is a modification of the ROC method which measures the ability of an index variable to diagnose either presence or absence of a characteristic. The diagnosis depends on whether the value of an index variable is above a threshold. Each threshold generates a two-by-two contingency table, which contains four entries: hits (H), misses (M), false alarms (FA), and correct rejections (CR). While ROC shows for each threshold only two ratios, H/(H + M) and FA/(FA + CR), TOC reveals the size of every entry in the contingency table for each threshold (Pontius Jr., R.G., Si, K. 2014. <doi:10.1080/13658816.2013.862623>).

Al� Santacruz

Total Operating Characteristic Curve and ROC Curve

uncertainty function

<dl> <dt>index</dt>
<dd>index vector</dd> <dt>tocd</dt>
<dd>data.frame output from <code>roctable</code></dd></dl>

Arguments

Uncertainty in AUC calculation — uncertainty

<dl>

 <dt>index</dt>
<dd>index vector</dd>

 <dt>tocd</dt>
<dd>data.frame output from <code>roctable</code></dd>

</dl>

uncertainty: Uncertainty in AUC calculation

Description

Usage

Value

Arguments