hash: Full Feature Implementation of Hash/Associated Arrays/Dictionaries

Implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposefully R flavor. For objects of appreciable size, access using hashes outperforms native named lists and vectors.

Depends: R (≥ 2.12.0), methods, utils
Suggests: testthat
Published: 2019-03-04
Author: Christopher Brown
Maintainer: Christopher Brown <chris.brown at decisionpatterns.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] (see file LICENSE)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: hash results


Reference manual: hash.pdf
Package source: hash_2.2.6.1.tar.gz
Windows binaries: r-prerelease: hash_2.2.6.1.zip, r-release: hash_2.2.6.1.zip, r-oldrel: hash_2.2.6.1.zip
macOS binaries: r-prerelease: hash_2.2.6.1.tgz, r-release: hash_2.2.6.1.tgz, r-oldrel: hash_2.2.6.1.tgz
Old sources: hash archive

Reverse dependencies:

Reverse depends: BOG, CellNOptR, GABi, GeneGA, neuroim, orderbook, rpartitions
Reverse imports: CITAN, coMET, CRISPRseek, crisprseekplus, dataone, datapack, GUIDEseq, GWASinspector, Maaslin2, medicalrisk, nanotatoR, rankdist, ReinforcementLearning, rgsepd, RITAN, sBIC, scfind, scsR, STRINGdb, tictactoe, TSDT


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