copy_policy_data

Objects of class policy_data contains elements of
class <a href="https://rdatatable.gitlab.io/data.table/reference/data.table.html">data.table::data.table</a>.
<code>data.table</code> provide functions that operate on objects by reference.
Thus, the <code>policy_data</code> object is not copied when modified by reference,
see examples. An explicit copy can be made by <code>copy_policy_data</code>. The
function is a wrapper of <code><a href="https://rdatatable.gitlab.io/data.table/reference/copy.html">data.table::copy()</a></code>.

Package for learning and evaluating (subgroup) policies via doubly robust loss functions. Policy learning methods include doubly robust blip/conditional average treatment effect learning and sequential policy tree learning. Methods for (subgroup) policy evaluation include doubly robust cross-fitting and online estimation/sequential validation. See Nordland and Holst (2022) <doi:10.48550/arXiv.2212.02335> for documentation and references.

Andreas Nordland

polle

Policy Learning

Klaus Holst

copy_policy_data function

<dl><dt>object</dt>
<dd>Object of class policy_data.</dd></dl>

Arguments

Objects of class policy_data contains elements of
class <a href='https://rdatatable.gitlab.io/data.table/reference/data.table.html'>data.table::data.table</a>.
<code>data.table</code> provide functions that operate on objects by reference.
Thus, the <code>policy_data</code> object is not copied when modified by reference,
see examples. An explicit copy can be made by <code>copy_policy_data</code>. The
function is a wrapper of <code><a href='https://rdatatable.gitlab.io/data.table/reference/copy.html'>data.table::copy()</a></code>.

Copy Policy Data Object — copy_policy_data

<dl>

<dt>object</dt>
<dd>Object of class policy_data.</dd>

</dl>

copy_policy_data: Copy Policy Data Object

Description

Usage

Value

Arguments

Examples