reorder_list

Helper function to reorder lists according to cvFolds

Targeted minimum loss-based estimators of counterfactual means and
causal effects that are doubly-robust with respect both to consistency and
asymptotic normality (Benkeser et al (2017), <doi:10.1093/biomet/asx053>; MJ
van der Laan (2014), <doi:10.1515/ijb-2012-0038>).

David Benkeser

drtmle

Doubly-Robust Nonparametric Estimation and Inference

Nima Hejazi

reorder_list function

<dl><dt>a_list</dt>
<dd>Structured list of nuisance parameters</dd>
<dt>a_0</dt>
<dd>Treatment levels</dd>
<dt>validRows</dt>
<dd>List of rows of data in validation data for
each split.</dd>
<dt>n_SL</dt>
<dd>Number of super learners. If &gt;1, then predictions
are averaged</dd>
<dt>grn_ind</dt>
<dd>Structure of grn call is slightly different</dd>
<dt>n</dt>
<dd>Sample size</dd>
<dt>for_se_cv</dt>
<dd>Is this being used to average over
cross-validated standard errors? Affects index of <code>a_list</code>.</dd></dl>

Arguments

Helper function to reorder lists according to cvFolds — reorder_list

<dl>

<dt>a_list</dt>
<dd>Structured list of nuisance parameters</dd>


<dt>a_0</dt>
<dd>Treatment levels</dd>


<dt>validRows</dt>
<dd>List of rows of data in validation data for
each split.</dd>


<dt>n_SL</dt>
<dd>Number of super learners. If &gt;1, then predictions
are averaged</dd>


<dt>grn_ind</dt>
<dd>Structure of grn call is slightly different</dd>


<dt>n</dt>
<dd>Sample size</dd>


<dt>for_se_cv</dt>
<dd>Is this being used to average over
cross-validated standard errors? Affects index of <code>a_list</code>.</dd>

</dl>

reorder_list: Helper function to reorder lists according to cvFolds

Description

Usage

Arguments