rcbsubset (>= 1.1.4), plyr, coin, weights, mvtnorm, MASS,
sandwich, magrittr

Luke Keele, Sam Pimentel, and Paul Rosenbaum
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. (2017+), forthcoming in the Annals of Applied Statistics.

rcbsubset (>= 1.1.4), plyr, coin, weights, mvtnorm, MASS,Hmisc

Provides a wrapper for the some basic functionality around
the 'Matchbook' <http://www.matchbook.com> REST API. It features calls to get events, markets and runners
in data frame format. It features functions for bet placement and position
management and also allows reporting of settled bet transactions. Note: this
package uses the back-lay format. The default for odds type, currency and
language are set according to those of the registered user account.

Rcpp (>= 0.11.2), lpSolve (>= 5.6.6), partitions
An R package for the analysis of stable matchings
This package implements a structural estimator to correct for the
sample selection bias from observed outcomes in matching markets. It also
contains R code for matching algorithms such as the deferred-acceptance
algorithm for college admissions, the top-trading-cycles algorithm for
house allocation and a partitioning linear program for the roommates
problem.

Rcpp, RcppArmadillo, RcppProgress (>= 0.2)
An R Package for the Analysis of Stable Matchings
Implements a structural estimator to correct for the
sample selection bias from observed outcomes in matching markets. Also
contains R code for matching algorithms such as the deferred-acceptance
algorithm for college admissions, the top-trading-cycles algorithm for
house allocation and a partitioning linear program for the roommates
problem.

Structural Estimators and Algorithms for the Analysis of Stable
Matchings
Implements structural estimators to correct for the
sample selection bias from observed outcomes in matching markets. Also
contains R code for matching algorithms such as the deferred-acceptance
algorithm for college admissions, the top-trading-cycles algorithm for
house allocation and a partitioning linear program for the roommates
problem.