mcdeloof

Compute the average with using Deloof's approximation, using parallel
computing; it can be used only on Linux and Mac systems!

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

mcdeloof function

<dl><dt>comparable_data</dt>
<dd>A dataframe or equivalent, which columns are ordered factors or numeric
variables.</dd>
<dt>n.cores</dt>
<dd>Number of cores to be used.</dd></dl>

Arguments

Average rank with Deloof's approximation (parallel computing) — mcdeloof

<dl>

<dt>comparable_data</dt>
<dd>A dataframe or equivalent, which columns are ordered factors or numeric
variables.</dd>


<dt>n.cores</dt>
<dd>Number of cores to be used.</dd>

</dl>

mcdeloof: Average rank with Deloof's approximation (parallel computing)

Description

Usage

Value

Arguments

References

Examples