future.apply

Apply Function to Elements in Parallel using Futures

Implementations of apply(), by(), eapply(), lapply(), Map(), 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.

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Description file content

Package
future.apply
Version
1.3.0
Title
Apply Function to Elements in Parallel using Futures
Depends
R (>= 3.2.0), future (>= 1.13.0)
Imports
globals (>= 0.12.4)
Suggests
datasets, stats, tools, listenv (>= 0.7.0), R.rsp, markdown
VignetteBuilder
R.rsp
Description
Implementations of apply(), by(), eapply(), lapply(), Map(), 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.
License
GPL (>= 2)
LazyLoad
TRUE
URL
BugReports
https://github.com/HenrikBengtsson/future.apply/issues
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-06-18 03:07:59 UTC; hb
Author
Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
Maintainer
Henrik Bengtsson
Repository
CRAN
Date/Publication
2019-06-18 05:10:07 UTC

install.packages('future.apply')

1.3.0

2 months ago

https://github.com/HenrikBengtsson/future.apply

Henrik Bengtsson

GPL (>= 2)

Depends on

R (>= 3.2.0), future (>= 1.13.0)

Imports

globals (>= 0.12.4)

Suggests

datasets, stats, tools, listenv (>= 0.7.0), R.rsp, markdown

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