vcov.RI.regression.result

Implements methods developed by Ding, Feller, and Miratrix (2016) <doi:10.1111/rssb.12124> <arXiv:1412.5000>,
and Ding, Feller, and Miratrix (2018) <doi:10.1080/01621459.2017.1407322> <arXiv:1605.06566>
for testing whether there is unexplained variation in treatment effects across observations, and for characterizing
the extent of the explained and unexplained variation in treatment effects. The package includes wrapper functions
implementing the proposed methods, as well as helper functions for analyzing and visualizing the results of the test.

Ben Fifield

hettx

Fisherian and Neymanian Methods for Detecting and Measuring
Treatment Effect Variation

Peng Ding

Avi Feller

Luke Miratrix

vcov.RI.regression.result function

<dl><dt>object</dt>
<dd>est.beta object</dd>
<dt>...</dt>
<dd>unused</dd></dl>

Arguments

Get vcov() from object. — vcov.RI.regression.result

<dl>

<dt>object</dt>
<dd>est.beta object</dd>


<dt>...</dt>
<dd>unused</dd>

</dl>

vcov.RI.regression.result: Get vcov() from object.

Description

Usage

Arguments

Examples