future.apply (1.4.0)

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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.

Maintainer: Henrik Bengtsson
Author(s): Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]

License: GPL (>= 2)

Uses: future, globals, R.rsp, markdown, listenv
Reverse depends: dhReg
Reverse suggests: blockCV, DeclareDesign, drake, fabletools, future.BatchJobs, future.batchtools, future.callr, glmmboot, grattan, inlinedocs, lgr, merTools, mlr3, mlr3db, PeakSegDisk, penaltyLearning, progressr, stars, tcensReg

Released about 1 month ago.

7 previous versions



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