extractCI

Extract a confidence in interval from the bootstrapped results. Used by CI.raplot

Assessing the comparative performance of two logistic regression models or results of such models or classification models. Discrimination metrics include Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), and difference in Area Under the Curves (AUCs), Brier scores and Brier skill. Plots include Risk Assessment Plots, Decision curves and Calibration plots. Methods are described in Pickering and Endre (2012) <doi:10.1373/clinchem.2011.167965> and Pencina et al. (2008) <doi:10.1002/sim.2929>.

Daniel Perez Vicencio

raptools

Risk Assessment Plot and Reclassification Metrics

John W Pickering

Dimitrios Doudesis

extractCI function

<dl><dt>results.boot</dt>
<dd>The matrix of n.boot metrics from within CI.raplot</dd>
<dt>conf.level</dt>
<dd>The confidence interval expressed between 0 &amp; 1 (eg 95%CI is conf.level = 0.95)</dd>
<dt>n.boot</dt>
<dd>The number of bootstrapped samples</dd>
<dt>dp</dt>
<dd>the number of decimal places to report the point estimate and confidence interval</dd></dl>

Arguments

Extract confidence interval — extractCI

<dl>

<dt>results.boot</dt>
<dd>The matrix of n.boot metrics from within CI.raplot</dd>


<dt>conf.level</dt>
<dd>The confidence interval expressed between 0 &amp; 1 (eg 95%CI is conf.level = 0.95)</dd>


<dt>n.boot</dt>
<dd>The number of bootstrapped samples</dd>


<dt>dp</dt>
<dd>the number of decimal places to report the point estimate and confidence interval</dd>

</dl>

extractCI: Extract confidence interval

Description

Usage

Value

Arguments