construct_outcome_template

This function constructs the output for template matching given
the relaxsolution to the network flow problem,
number of edges in the template-to-treated network,
a vector of treatment status, and the original dataset. This function
is of little interest to users.

Multivariate matching in observational studies typically has two goals: 1. to construct
treated and control groups that have similar distribution of observed covariates and 2. to produce
matched pairs or sets that are homogeneous in a few priority variables. This packages implements a
network-flow-based method built around a tripartite graph that can simultaneously achieve both goals.
The package also implements a template matching algorithm using a variant of the tripartite graph
design. A brief description of the workflow and some examples are given in the vignette. A more elaborated
tutorial can be found at <https://www.researchgate.net/publication/359513837_Tutorial_for_R_Package_match2C>.

Bo Zhang

match2C

Match One Sample using Two Criteria

construct_outcome_template function

<dl><dt>res</dt>
<dd>A callrelax output.</dd>
<dt>num_edges_left</dt>
<dd>Number of edges in the template-to-treatment network.</dd>
<dt>Z</dt>
<dd>A vector of treatment status.</dd>
<dt>dataset</dt>
<dd>The original dataset.</dd></dl>

Arguments

Construct an output for template matching. — construct_outcome_template

<dl>

<dt>res</dt>
<dd>A callrelax output.</dd>


<dt>num_edges_left</dt>
<dd>Number of edges in the template-to-treatment network.</dd>


<dt>Z</dt>
<dd>A vector of treatment status.</dd>


<dt>dataset</dt>
<dd>The original dataset.</dd>

</dl>

construct_outcome_template: Construct an output for template matching.

Description

Usage

Value

Arguments