minischool

<p>The Catholic schools dataset subset to a smaller number of
  schools (with only 6 Catholic schools).  See full dataset documentation for
  more information.</p>

Performs multilevel matches for data with cluster-
level treatments and individual-level outcomes using a network
optimization algorithm.  Functions for checking balance at the
cluster and individual levels are also provided, as are methods
for permutation-inference-based outcome analysis.  Details in
Pimentel et al. (2018) <doi:10.1214/17-AOAS1118>.  The optmatch
package, which is useful for running many of the provided
functions, may be downloaded from Github at
<https://github.com/markmfredrickson/optmatch> if not available on
CRAN.

Samuel Pimentel

matchMulti

Optimal Multilevel Matching using a Network Algorithm

Luke Keele

Luke Miratrix

Sam Pimentel

Paul Rosenbaum

minischool function

<p>A data frame with 1500 rows and 12 variables, as described in the
  `catholic_schools` dataset.</p>

Format

Mini-data set for illustration — minischool

Mini-data set for illustration

minischool: Mini-data set for illustration

Description

Arguments

Format

See Also