TY - JOUR AU - Iacus, Stefano AU - Porro, Giuseppe PY - 2008/04/30 Y2 - 2024/03/29 TI - Invariant and Metric Free Proximities for Data Matching: An R Package JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 25 IS - 11 SE - Articles DO - 10.18637/jss.v025.i11 UR - https://www.jstatsoft.org/index.php/jss/article/view/v025i11 SP - 1 - 22 AB - Data matching is a typical statistical problem in non experimental and/or observational studies or, more generally, in cross-sectional studies in which one or more data sets are to be compared. Several methods are available in the literature, most of which based on a particular metric or on statistical models, either parametric or nonparametric. In this paper we present two methods to calculate a proximity which have the property of being invariant under monotonic transformations. These methods require at most the notion of ordering. An open-source software in the form of a R package is also presented. ER -