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Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework <doi:10.32614/RJ-2021-048>.
Version: | 1.11.3 |
Depends: | R (≥ 3.2.0), future (≥ 1.28.0) |
Imports: | globals (≥ 0.16.1), parallel, utils |
Suggests: | datasets, stats, tools, listenv (≥ 0.8.0), R.rsp, markdown |
Published: | 2024-10-27 |
DOI: | 10.32614/CRAN.package.future.apply |
Author: | Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb] |
Maintainer: | Henrik Bengtsson <henrikb at braju.com> |
BugReports: | https://github.com/futureverse/future.apply/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://future.apply.futureverse.org, https://github.com/futureverse/future.apply |
NeedsCompilation: | no |
Citation: | future.apply citation info |
Materials: | NEWS |
In views: | HighPerformanceComputing |
CRAN checks: | future.apply results |
Reference manual: | future.apply.pdf |
Vignettes: |
A Future for R: Apply Function to Elements in Parallel (source) |
Package source: | future.apply_1.11.3.tar.gz |
Windows binaries: | r-devel: future.apply_1.11.3.zip, r-release: future.apply_1.11.3.zip, r-oldrel: future.apply_1.11.3.zip |
macOS binaries: | r-release (arm64): future.apply_1.11.3.tgz, r-oldrel (arm64): future.apply_1.11.3.tgz, r-release (x86_64): future.apply_1.11.3.tgz, r-oldrel (x86_64): future.apply_1.11.3.tgz |
Old sources: | future.apply archive |
Please use the canonical form https://CRAN.R-project.org/package=future.apply to link to this page.
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.