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Provides a flexible set of tools for matching two un-linked data sets. 'fedmatch' allows for three ways to match data: exact matches, fuzzy matches, and multi-variable matches. It also allows an easy combination of these three matches via the tier matching function.
| Version: | 2.0.5 |
| Depends: | R (≥ 3.5.3) |
| Imports: | stringdist, SnowballC, stringr, purrr, Rcpp, parallel, forcats, data.table, magrittr, scales |
| LinkingTo: | Rcpp, BH |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2021-11-22 |
| Author: | Melanie Friedrichs [aut], Chris Webster [aut, cre], Blake Marsh [aut], Jacob Dice [aut], Seung Lee [aut] |
| Maintainer: | Chris Webster <chris0webster at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | fedmatch results |
| Reference manual: | fedmatch.pdf |
| Vignettes: |
Fuzzy Matching Introduction to fedmatch Multivar Matching Using clean_strings Tier Matching |
| Package source: | fedmatch_2.0.5.tar.gz |
| Windows binaries: | r-devel: fedmatch_2.0.5.zip, r-release: fedmatch_2.0.5.zip, r-oldrel: fedmatch_2.0.5.zip |
| macOS binaries: | r-release (arm64): fedmatch_2.0.5.tgz, r-oldrel (arm64): fedmatch_2.0.5.tgz, r-release (x86_64): fedmatch_2.0.5.tgz, r-oldrel (x86_64): fedmatch_2.0.5.tgz |
| Old sources: | fedmatch archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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