binary.stats

Implementation of Sequential BATTing (bootstrapping and aggregating of thresholds from trees) for developing threshold-based multivariate (prognostic/predictive) biomarker signatures. Variable selection is automatically built-in. Final signatures are returned with interaction plots for predictive signatures. Cross-validation performance evaluation and testing dataset results are also output. Detail algorithms are described in Huang et al (2017) <doi:10.1002/sim.7236>.

Xin Huang

SubgrpID

Patient Subgroup Identification for Clinical Drug Development

Yan Sun

Saptarshi Chatterjee

Paul Trow

binary.stats function

<dl><dt>pred.class</dt>
<dd>predicted output for each subject</dd>
<dt>y.vec</dt>
<dd>response vector</dd></dl>

Arguments

binary.stats — binary.stats

<dl>

<dt>pred.class</dt>
<dd>predicted output for each subject</dd>


<dt>y.vec</dt>
<dd>response vector</dd>

</dl>

binary.stats: binary.stats

Description

Usage

Value

Arguments

Details