generateRhoObj

Helper function to generate a dataframe with matching number,
penalty (rho) values, and objective function values.

Matching algorithm based on network-flow structure.
Users are able to modify the emphasis on three different
optimization goals: two different distance measures and
the number of treated units left unmatched. The method is proposed by Pimentel
and Kelz (2019) <doi:10.1080/01621459.2020.1720693>.
The 'rrelaxiv' package, which provides an alternative solver for
the underlying network flow problems, carries an
academic license and is not available on CRAN, but
may be downloaded from Github at
<https://github.com/josherrickson/rrelaxiv/>.

Shichao Han

MultiObjMatch

Multi-Objective Matching Algorithm

Samuel D. Pimentel

generateRhoObj function

<dl><dt>matchingResult</dt>
<dd>matchingResult object that contains information for all
matches.</dd></dl>

Arguments

Penalty and objective values summary — generateRhoObj

<dl>

<dt>matchingResult</dt>
<dd>matchingResult object that contains information for all
matches.</dd>

</dl>

generateRhoObj: Penalty and objective values summary

Description

Usage

Value

Arguments

See Also