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Partition a data frame across multiple worker processes to provide simple multicore parallelism.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.4.0) |
| Imports: | callr (≥ 3.5.1), cli, crayon, dplyr (≥ 1.0.0), magrittr, qs (≥ 0.24.1), R6, rlang (≥ 1.0.6), tibble, tidyselect, vctrs (≥ 0.3.6) |
| Suggests: | covr, knitr, lubridate, mgcv, nycflights13, rmarkdown, testthat (≥ 3.0.2), vroom, withr |
| Published: | 2023-03-22 |
| DOI: | 10.32614/CRAN.package.multidplyr |
| Author: | Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd] |
| Maintainer: | Hadley Wickham <hadley at posit.co> |
| BugReports: | https://github.com/tidyverse/multidplyr/issues |
| License: | MIT + file LICENSE |
| URL: | https://multidplyr.tidyverse.org, https://github.com/tidyverse/multidplyr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | multidplyr results |
| Reference manual: | multidplyr.pdf |
| Vignettes: |
An introduction to multidplyr |
| Package source: | multidplyr_0.1.3.tar.gz |
| Windows binaries: | r-devel: multidplyr_0.1.3.zip, r-release: multidplyr_0.1.3.zip, r-oldrel: multidplyr_0.1.3.zip |
| macOS binaries: | r-release (arm64): multidplyr_0.1.3.tgz, r-oldrel (arm64): multidplyr_0.1.3.tgz, r-release (x86_64): multidplyr_0.1.3.tgz, r-oldrel (x86_64): multidplyr_0.1.3.tgz |
| Old sources: | multidplyr archive |
| Reverse imports: | baldur |
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These binaries (installable software) and packages are in development.
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