descr.stats_general

Generate summary statistics for matches

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

descr.stats_general function

<dl><dt>matches</dt>
<dd>One matching result from the main matching function</dd>
<dt>df</dt>
<dd>the original data frame used for matching</dd>
<dt>treatCol</dt>
<dd>the character of the column name for treatment vector</dd>
<dt>b.vars</dt>
<dd>the vector of column names of covariates used for measuring
balance</dd>
<dt>pair.vars</dt>
<dd>the vector of column names used for measuring pairwise
distance</dd>
<dt>extra</dt>
<dd>the list of summary statistic; it must be the types that can be
taken by cobalt</dd></dl>

Arguments

Generate summary statistics for matches — descr.stats_general

<dl>

<dt>matches</dt>
<dd>One matching result from the main matching function</dd>


<dt>df</dt>
<dd>the original data frame used for matching</dd>


<dt>treatCol</dt>
<dd>the character of the column name for treatment vector</dd>


<dt>b.vars</dt>
<dd>the vector of column names of covariates used for measuring
balance</dd>


<dt>pair.vars</dt>
<dd>the vector of column names used for measuring pairwise
distance</dd>


<dt>extra</dt>
<dd>the list of summary statistic; it must be the types that can be
taken by cobalt</dd>

</dl>

descr.stats_general: Generate summary statistics for matches

Description

Usage

Value

Arguments