tools:::Rd_package_description("aamatch")
tools:::Rd_package_author("aamatch")
Maintainer: tools:::Rd_package_maintainer("aamatch")
Package aamatch implements a simple version of multivariate matching in observational studies, using propensity scores, minimum distance matching, near-exact matching and fine balance. The main function in the package is artlessV2(). artlessV2() calls the function alittleArt(), and the latter gives the user finer control over the match.
Rosenbaum, P. R. (2020a) <doi:10.1007/978-3-030-46405-9> Design of Observational Studies (2nd Edition). New York: Springer.
Rosenbaum, P. R. (2020b). <doi:10.1146/annurev-statistics-031219-041058> Modern algorithms for matching in observational studies. Annual Review of Statistics and Its Application, 7(1), 143-176.
Rosenbaum, P. R. (2025) <doi:10.1007/978-3-031-90494-3> Introduction to the Theory of Observational Studies. New York: Springer.
Zhang, B., D. S. Small, K. B. Lasater, M. McHugh, J. H. Silber, and P. R. Rosenbaum (2023) <doi:10.1080/01621459.2021.1981337> Matching one sample according to two criteria in observational studies. Journal of the American Statistical Association, 118, 1140-1151.