aggregateDesigns

Totals up all the covariates, as well as user-provided unit weights.
(What it does to NotMissing entries is described in docs for DesignOptions class.)

internal

Tools for randomization-based inference. Current focus is on the d^2 omnibus test of differences of means following Hansen and Bowers (2008) <doi:10.1214/08-STS254> . This test is useful for assessing balance in matched observational studies or for analysis of outcomes in block-randomized experiments.

Jake Bowers

RItools

Randomization Inference Tools

Mark Fredrickson

Ben Hansen

Josh Errickson

aggregateDesigns function

<dl><dt>design</dt>
<dd>DesignOptions</dd></dl>

Arguments

Aggregate DesignOptions — aggregateDesigns

<dl>

<dt>design</dt>
<dd>DesignOptions</dd>

</dl>

aggregateDesigns: Aggregate DesignOptions

Description

Usage

Value

Arguments

Details