Package: future.apply
Version: 1.0.1
Title: Apply Function to Elements in Parallel using Futures
Depends: R (>= 3.2.0), future (>= 1.9.0)
Imports: globals (>= 0.12.1)
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(), 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: 6.1.0
NeedsCompilation: no
Packaged: 2018-08-26 20:57:35 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph],
  R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2018-08-26 22:44:28 UTC
Built: R 3.4.1; ; 2018-10-13 08:14:57 UTC; windows
