Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Stefano Iacus, Giuseppe Porro
Title: Invariant and Metric Free Proximities for Data Matching: An R Package
Abstract: 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.

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Paper: Invariant and Metric Free Proximities for Data Matching: An R Package     Download PDF (Downloads: 3557)
Supplements:
rrp_2.7.tar.gz: R source package Download (Downloads: 1120; 952KB)
v25i11.R: R example code from the paper Download (Downloads: 1471; 6KB)
DOI: 10.18637/jss.v025.i11

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.