Compute the absolute standardized bias of given confounders and return some
useful statistics.

It contains the function to apply MARMoT balancing technique discussed in: Silan, Boccuzzo, Arpino (2021) <DOI:10.1002/sim.9192>, Silan, Belloni, Boccuzzo, (2023) <DOI:10.1007/s10260-023-00695-0>;
furthermore it contains a function for computing the Deloof's approximation of the average rank
(and also a parallelized version) and a function to compute the Absolute Standardized Bias.

Alberto Calore

MARMoT

Matching on Poset-Based Average Rank for Multiple Treatments
(MARMoT)

Pietro Belloni

Margherita Silan

ASB function

<dl><dt>data</dt>
<dd>A dataframe or equivalent.</dd>
<dt>confounders</dt>
<dd>A vector with the column names of the confounders to balance by.</dd>
<dt>treatment</dt>
<dd>A string with the column name of the treatment variable.</dd>
<dt>verbose</dt>
<dd>Set to FALSE to suppress any console output. Default is TRUE</dd></dl>

Arguments

Absolute standardized bias — ASB

<dl>

<dt>data</dt>
<dd>A dataframe or equivalent.</dd>


<dt>confounders</dt>
<dd>A vector with the column names of the confounders to balance by.</dd>


<dt>treatment</dt>
<dd>A string with the column name of the treatment variable.</dd>


<dt>verbose</dt>
<dd>Set to FALSE to suppress any console output. Default is TRUE</dd>

</dl>

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ASB: Absolute standardized bias

Description

Usage

Value

Arguments

Examples