UNF: Tools for Creating Universal Numeric Fingerprints for Data

Computes a 'universal numeric fingerprint' ('UNF') for an R data object. 'UNF' is a 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: 2.0.8
Imports: utils, stats, tools, base64enc, digest
Suggests: knitr, rmarkdown, testthat
Published: 2022-04-13
Author: Thomas J. Leeper ORCID iD [aut, cre], Micah Altman [aut]
Maintainer: Thomas J. 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 NEWS
CRAN checks: UNF results


Reference manual: UNF.pdf
Vignettes: The UNF Algorithm
Data Citation with UNF


Package source: UNF_2.0.8.tar.gz
Windows binaries: r-devel: UNF_2.0.8.zip, r-release: UNF_2.0.8.zip, r-oldrel: UNF_2.0.8.zip
macOS binaries: r-release (arm64): UNF_2.0.8.tgz, r-oldrel (arm64): UNF_2.0.8.tgz, r-release (x86_64): UNF_2.0.8.tgz, r-oldrel (x86_64): UNF_2.0.8.tgz
Old sources: UNF archive


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