UNF: Tools for Creating Universal Numeric Fingerprints for Data

Computes a universal numeric fingerprint (UNF) for an R data object. UNF is a cryptographic hash or signature that can be used to uniquely identify (a version of) a rectangular dataset, or a subset thereof. UNF can be used, in tandem with a DOI, to form a persistent citation to a versioned dataset.

Version: 2.0.6
Imports: utils, stats, tools, base64enc, digest
Suggests: knitr, testthat
Published: 2017-06-13
Author: Thomas Leeper [aut, cre], Micah Altman [aut]
Maintainer: Thomas Leeper <thosjleeper at gmail.com>
BugReports: https://github.com/leeper/UNF/issues
License: GPL-2
URL: https://github.com/leeper/UNF
NeedsCompilation: no
Citation: UNF citation info
Materials: README ChangeLog
CRAN checks: UNF results

Downloads:

Reference manual: UNF.pdf
Vignettes: The UNF Algorithm
Data Citation with UNF
Package source: UNF_2.0.6.tar.gz
Windows binaries: r-prerel: UNF_2.0.6.zip, r-release: UNF_2.0.6.zip, r-oldrel: UNF_2.0.6.zip
OS X binaries: r-prerel: UNF_2.0.6.tgz, r-release: UNF_2.0.6.tgz
Old sources: UNF archive

Reverse dependencies:

Reverse suggests: dataverse

Linking:

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