CVFolds

Generate list of row numbers for each fold in the cross-validation. <code>CVFolds</code> is used in the <code>SuperLearner</code> to create the cross-validation splits.

utilities

Implements the super learner prediction method and contains a
library of prediction algorithms to be used in the super learner.

Eric Polley

SuperLearner

Super Learner Prediction

Erin LeDell

Chris Kennedy

Sam Lendle

Mark van der Laan

CVFolds function

<dl> <dt>N</dt>
<dd>Sample size</dd> <dt>id</dt>
<dd>Optional cluster id variable. If present, all observations in the same cluster will always be in the same split.</dd> <dt>Y</dt>
<dd>outcome</dd> <dt>cvControl</dt>
<dd>Control parameters for the cross-validation step. See <code>SuperLearner.CV.control</code> for details.</dd></dl>

Arguments

Eric C Polley <a href="/link/epolley%40uchicago.edu?package=SuperLearner&version=2.0-28.1" data-mini-rdoc="SuperLearner::epolley@uchicago.edu">epolley@uchicago.edu</a>

Author

Generate list of row numbers for each fold in the cross-validation — CVFolds

<dl>

 <dt>N</dt>
<dd>Sample size</dd>

 <dt>id</dt>
<dd>Optional cluster id variable. If present, all observations in the same cluster will always be in the same split.</dd>

 <dt>Y</dt>
<dd>outcome</dd>

 <dt>cvControl</dt>
<dd>Control parameters for the cross-validation step. See <code>SuperLearner.CV.control</code> for details.</dd>

</dl>

Eric C Polley <a href='mailto:epolley@uchicago.edu'>epolley@uchicago.edu</a>

CVFolds: Generate list of row numbers for each fold in the cross-validation

Description

Usage

Value

Arguments

Author