cut_quant

Create strata based on quantiles of a score

Attain excellent covariate balance by matching two treated units
and one control unit or vice versa within strata. Using such triples, as
opposed to also allowing pairs of treated and control units,
allows easier interpretation of the two possible
weights of observations and better insensitivity to unmeasured bias in the test
statistic. Using triples instead of matching in a fixed 1:2 or 2:1 ratio
allows for the match to be feasible in more situations.
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/>.
The 'Gurobi' commercial optimization software is required to use the two functions
[infsentrip()] and [triplesIP()]. These functions are not essential
to the main purpose of this package. A free academic license can be obtained at
<https://www.gurobi.com/features/academic-named-user-license/>.
The 'gurobi' R package can then be installed following
the instructions at <https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.

Katherine Brumberg

triplesmatch

Match Triples Consisting of Two Controls and a Treated Unit or
Vice Versa

cut_quant function

<dl><dt>v</dt>
<dd>Vector of scores (typically propensity scores)</dd>
<dt>q</dt>
<dd>Vector of desired quantiles (between 0 and 1) at which to cut the strata</dd>
<dt>int</dt>
<dd>Boolean whether to return strata as integers. Default is `TRUE`</dd></dl>

Arguments

Create strata based on quantiles of a score — cut_quant

<dl>

<dt>v</dt>
<dd>Vector of scores (typically propensity scores)</dd>


<dt>q</dt>
<dd>Vector of desired quantiles (between 0 and 1) at which to cut the strata</dd>


<dt>int</dt>
<dd>Boolean whether to return strata as integers. Default is `TRUE`</dd>

</dl>

cut_quant: Create strata based on quantiles of a score

Description

Usage

Value

Arguments

Examples