revert_dist_list_cpp

Revert a treated-to-control distance list.

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

revert_dist_list_cpp function

<dl><dt>n_t</dt>
<dd>Number of treated units</dd>
<dt>n_c</dt>
<dd>Number of control units</dd>
<dt>startn</dt>
<dd>Vector of starting nodes of edges</dd>
<dt>endn</dt>
<dd>Vector of ending nodes of edges</dd>
<dt>d</dt>
<dd>Vector of cost associated with edges</dd></dl>

Arguments

Revert a treated-to-control distance list. — revert_dist_list_cpp

<dl>

<dt>n_t</dt>
<dd>Number of treated units</dd>


<dt>n_c</dt>
<dd>Number of control units</dd>


<dt>startn</dt>
<dd>Vector of starting nodes of edges</dd>


<dt>endn</dt>
<dd>Vector of ending nodes of edges</dd>


<dt>d</dt>
<dd>Vector of cost associated with edges</dd>

</dl>

revert_dist_list_cpp: Revert a treated-to-control distance list.

Description

Usage

Arguments