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DESCRIPTION
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DESCRIPTION
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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
Authors@R: c(person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email = "henrikb@braju.com"),
person("R Core Team", role = c("cph", "ctb")))
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: https://github.com/HenrikBengtsson/future.apply
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 <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2019-06-18 05:10:07 UTC
Built: R 3.5.3; ; 2019-09-17 01:34:45 UTC; windows