calc_mROC_stats

Calculates the absolute surface between the empirical and expected ROCs

Provides additional functions for evaluating predictive models, including plotting calibration curves and model-based Receiver Operating Characteristic (mROC) based on Sadatsafavi et al (2021) <arXiv:2003.00316>.

Amin Adibi

predtools

Prediction Model Tools

Mohsen Sadatsafavi

Abdollah Safari

Tae Yoon Lee

calc_mROC_stats function

<dl><dt>y</dt>
<dd>y vector of binary responses</dd>
<dt>p</dt>
<dd>p vector of predicted probabilities (same length as y)</dd>
<dt>ordered</dt>
<dd>defaults to false</dd>
<dt>fast</dt>
<dd>defaults to true</dd></dl>

Arguments

Calculates the absolute surface between the empirical and expected ROCs — calc_mROC_stats

<dl>

<dt>y</dt>
<dd>y vector of binary responses</dd>


<dt>p</dt>
<dd>p vector of predicted probabilities (same length as y)</dd>


<dt>ordered</dt>
<dd>defaults to false</dd>


<dt>fast</dt>
<dd>defaults to true</dd>

</dl>

calc_mROC_stats: Calculates the absolute surface between the empirical and expected ROCs

Description

Usage

Value

Arguments