futurize: Parallelize Common Functions via One Magic Function
The futurize() function transpiles calls to sequential map-reduce functions such as base::lapply(), purrr::map(), 'foreach::foreach() %do% { ... }' into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the 'future' ecosystem <doi:10.32614/RJ-2021-048>. By combining this function with R's native pipe operator, you have an convenient way for speeding up iterative computations with minimal refactoring, e.g. 'lapply(xs, fcn) |> futurize()', 'purrr::map(xs, fcn) |> futurize()', and 'foreach::foreach(x = xs) %do% { fcn(x) } |> futurize()'. Other map-reduce packages that be "futurized" are 'BiocParallel', 'plyr', 'crossmap' packages. There is also support for growing set of domain-specific packages, including 'boot', 'glmnet', 'mgcv', 'lme4', and 'tm'.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0), future (> 1.58.0) |
| Suggests: |
future.apply, foreach, doFuture, purrr, furrr, crossmap, plyr, BiocParallel, glmnet, boot, lme4, mgcv, tm, tools, commonmark, base64enc |
| Published: |
2026-01-22 |
| DOI: |
10.32614/CRAN.package.futurize |
| Author: |
Henrik Bengtsson [aut, cre, cph] |
| Maintainer: |
Henrik Bengtsson <henrikb at braju.com> |
| License: |
GPL (≥ 3) |
| URL: |
https://www.futureverse.org, https://github.com/futureverse/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
futurize results |
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