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.
Version: | 1.9.1 |
Depends: | R (≥ 3.2.0), future (≥ 1.27.0) |
Imports: | globals (≥ 0.16.1), parallel, utils |
Suggests: | datasets, stats, tools, listenv (≥ 0.8.0), R.rsp, markdown |
Published: | 2022-09-07 |
Author: | Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb] |
Maintainer: | Henrik Bengtsson <henrikb at braju.com> |
BugReports: | https://github.com/HenrikBengtsson/future.apply/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://future.apply.futureverse.org, https://github.com/HenrikBengtsson/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 |
Package source: | future.apply_1.9.1.tar.gz |
Windows binaries: | r-devel: future.apply_1.9.1.zip, r-release: future.apply_1.9.1.zip, r-oldrel: future.apply_1.9.1.zip |
macOS binaries: | r-release (arm64): future.apply_1.9.0.tgz, r-oldrel (arm64): future.apply_1.9.0.tgz, r-release (x86_64): future.apply_1.9.1.tgz, r-oldrel (x86_64): future.apply_1.9.1.tgz |
Old sources: | future.apply archive |
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