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Apply an adaptation of the SuperFastHash algorithm to any R object. Hash whole R objects or, for vectors or lists, hash R objects to obtain a set of hash values that is stored in a structure equivalent to the input. See <http://www.azillionmonkeys.com/qed/hash.html> for a description of the hash algorithm.
| Version: | 0.1.4 |
| Suggests: | tinytest |
| Published: | 2021-09-02 |
| DOI: | 10.32614/CRAN.package.hashr |
| Author: | Mark van der Loo [aut, cre], Paul Hsieh [ctb] |
| Maintainer: | Mark van der Loo <mark.vanderloo at gmail.com> |
| BugReports: | https://github.com/markvanderloo/hashr/issues |
| License: | GPL-3 |
| URL: | https://github.com/markvanderloo/hashr |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | hashr results |
| Reference manual: | hashr.pdf |
| Package source: | hashr_0.1.4.tar.gz |
| Windows binaries: | r-devel: hashr_0.1.4.zip, r-release: hashr_0.1.4.zip, r-oldrel: hashr_0.1.4.zip |
| macOS binaries: | r-release (arm64): hashr_0.1.4.tgz, r-oldrel (arm64): hashr_0.1.4.tgz, r-release (x86_64): hashr_0.1.4.tgz, r-oldrel (x86_64): hashr_0.1.4.tgz |
| Old sources: | hashr 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.