Provides routines for finding an Optimal System of Distinct Representatives (OSDR), as defined by D.Gale (1968) <doi:10.1016/S0021-9800(68)80039-0>.
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The aim of this small package is to provide a function solving the assignment problem on an ordered set. This matching problem can be viewed in two ways. First, as the original ordered assignment problem, where a set of jobs, ordered by importance, must be filled by suitable applicants in the best possible way. Second, as an ordered matching problem where treated unit should be matched in order of importance with suitable controls. Suitability can be obtained by a ”caliper”: units within the caliper having zero matching cost and units outside the caliper having infinity cost. The main function
OSDR exploits an algorithm suggested by I.Anderson to find an order optimal matching, as defined by D.Gale (see
OSDR for details). The package includes some utilities and examples (both combinatorial and statistically oriented) to illustrate the use of
Massimo Cannas [aut, cre]
Maintainer: Massimo Cannas <email@example.com>
Gale, D. (1968) Optimal matching in an ordered set: an application of matroid theory. Journal of Combinatorial Theory 4, pp. 176-180.
Anderson, I. (1989) A first course in Combinatorial Mathematics. Oxford University Press.
Rosenbaum, P. R. (1989). Optimal matching for observational studies. Journal of the American Statistical Association 84(408): pp. 1024-1032.
Cannas, M. Order optimal matching for statistical application: a gender gap case study (soon available on arXiv).
Routines for classic combinatorial optimization problems are available on R via the optrees package and the maxmatching package. A package for statistically oriented optimal matching is the optmatch package which can be used in observational studies to find a minimum covariate distance matching of control to treated units prior to outcome analysis (Rosenbaum).
#See OSDR help for the examples.
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