MC_sums

Compute sums of a Monte Carlo vector for use in resmoothing.

Doubly robust average partial effect estimation. This implementation contains methods for adding additional smoothness to plug-in regression procedures and for estimating score functions using smoothing splines. Details of the method can be found in Harvey Klyne and Rajen D. Shah (2023) <doi:10.48550/arXiv.2308.09207>.

Harvey Klyne

drape

Doubly Robust Average Partial Effects

MC_sums function

<dl><dt>a</dt>
<dd>vector of length (n x nMC x nbw).</dd>
<dt>n</dt>
<dd>integer.</dd>
<dt>nMC</dt>
<dd>integer.</dd>
<dt>nbw</dt>
<dd>integer.</dd></dl>

Arguments

Compute sums of a Monte Carlo vector for use in resmoothing. — MC_sums

<dl>

<dt>a</dt>
<dd>vector of length (n x nMC x nbw).</dd>


<dt>n</dt>
<dd>integer.</dd>


<dt>nMC</dt>
<dd>integer.</dd>


<dt>nbw</dt>
<dd>integer.</dd>

</dl>

MC_sums: Compute sums of a Monte Carlo vector for use in resmoothing.

Description

Usage

Value

Arguments