The goal of triplesmatch is to 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 function of this package. The ‘gurobi’ R
package can be installed following the instructions at https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html.
You can install the release version of optrefine from CRAN with:
install.packages("triplesmatch")