|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.|
Page views:: 3693. Submitted: 2007-03-19. Published: 2008-04-30.
Invariant and Metric Free Proximities for Data Matching: An R Package
This work is licensed under the licenses
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.