stitch_two_nets_template

This function takes as inputs a template-to-treated network,
one treated-to-control network, a tuning parameter lambda,
and number of controls, and constructs one two-part network out of them.

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

stitch_two_nets_template function

<dl><dt>net1</dt>
<dd>A list of five vectors: startn, endn, ucap, cost, b.</dd>
<dt>net2</dt>
<dd>A list of five vectors: startn, endn, ucap, cost, b.</dd>
<dt>n_c</dt>
<dd>Number of control units.</dd>
<dt>lambda</dt>
<dd>A penalty.</dd>
<dt>multiple</dt>
<dd>Number of treated units matched to each unit in the template</dd></dl>

Arguments

Stitch a template-to-treated network and a treated-to-control network
into one two-part network. — stitch_two_nets_template

<dl>

<dt>net1</dt>
<dd>A list of five vectors: startn, endn, ucap, cost, b.</dd>


<dt>net2</dt>
<dd>A list of five vectors: startn, endn, ucap, cost, b.</dd>


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


<dt>lambda</dt>
<dd>A penalty.</dd>


<dt>multiple</dt>
<dd>Number of treated units matched to each unit in the template</dd>

</dl>

stitch_two_nets_template: Stitch a template-to-treated network and a treated-to-control network into one two-part network.

Description

Usage

Value

Arguments

Details