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Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. These are useful for handling database keys and exact counting in +-2^63. WARNING: do not use them as replacement for 32bit integers, integer64 are not supported for subscripting by R-core and they have different semantics when combined with double, e.g. integer64 + double => integer64. Class integer64 can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters and factors as well as many elementwise and summary functions. Many fast algorithmic operations such as 'match' and 'order' support inter- active data exploration and manipulation and optionally leverage caching.
Version: | 4.5.2 |
Depends: | R (≥ 3.0.1), bit (≥ 4.0.0), utils, methods, stats |
Published: | 2024-09-22 |
DOI: | 10.32614/CRAN.package.bit64 |
Author: | Jens Oehlschlägel [aut, cre], Leonardo Silvestri [ctb], Ofek Shilon [ctb] |
Maintainer: | Jens Oehlschlägel <Jens.Oehlschlaegel at truecluster.com> |
License: | GPL-2 | GPL-3 |
URL: | https://github.com/truecluster/bit64 |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | bit64 results |
Reference manual: | bit64.pdf |
Package source: | bit64_4.5.2.tar.gz |
Windows binaries: | r-devel: bit64_4.5.2.zip, r-release: bit64_4.5.2.zip, r-oldrel: bit64_4.5.2.zip |
macOS binaries: | r-release (arm64): bit64_4.5.2.tgz, r-oldrel (arm64): bit64_4.5.2.tgz, r-release (x86_64): bit64_4.5.2.tgz, r-oldrel (x86_64): bit64_4.5.2.tgz |
Old sources: | bit64 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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