trim_dis_y

Implementation of the LoTTA (Local Trimmed Taylor Approximation) model
described in "Bayesian Regression Discontinuity Design with Unknown Cutoff"
by Kowalska, van de Wiel, van der Pas (2024) <doi:10.48550/arXiv.2406.11585>.

Julia Kowalska

LoTTA

Bayesian Inference in Regression Discontinuity Designs

trim_dis_y function

<dl><dt>y</dt>
<dd><ul>
<li>outcome data</li>
</ul></dd>
<dt>x</dt>
<dd><ul>
<li>score data</li>
</ul></dd>
<dt>trimmed</dt>
<dd><ul>
<li>NULL by default, provide vector of values to trim the data</li>
</ul></dd></dl>

Arguments

Binary outcomes for trimmed score — trim_dis_y

<dl>

<dt>y</dt>
<dd><ul>
<li>outcome data</li>
</ul></dd>


<dt>x</dt>
<dd><ul>
<li>score data</li>
</ul></dd>


<dt>trimmed</dt>
<dd><ul>
<li>NULL by default, provide vector of values to trim the data</li>
</ul></dd>

</dl>

trim_dis_y: Binary outcomes for trimmed score

Description

Usage

Value

Arguments