cv.folds

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

cv.folds function

<dl><dt>n</dt>
<dd>number of observations.</dd>
<dt>folds</dt>
<dd>number of folds.</dd></dl>

Arguments

cv.folds — cv.folds

<dl>

<dt>n</dt>
<dd>number of observations.</dd>


<dt>folds</dt>
<dd>number of folds.</dd>

</dl>

cv.folds: cv.folds

Description

Usage

Value

Arguments

Details