| Authors: | Stefano Iacus, Giuseppe Porro |
| Title: | [download] (1192)Invariant and Metric Free Proximities for Data Matching: An R Package |
| Reference: | Vol. 25, Issue 11, Apr 2008 Submitted 2007-03-19, Accepted 2008-03-31 |
| Type: | Article |
| 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. |
| Paper: | [download] (1192)Invariant and Metric Free Proximities for Data Matching: An R Package (application/pdf, 425 KB) |
| Supplements: | [download] (445)rrp_2.7.tar.gz: R source package (application/x-gzip, 952.9 KB) |
| [download] (558)v25i11.R: R example code from the paper (text/plain, 6.4 KB) |
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| Resources: | BibTeX | OAI |
