Partition a data frame across multiple worker processes to provide simple multicore parallelism.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | callr (≥ 3.5.1), crayon, dplyr (≥ 1.0.0), magrittr, qs (≥ 0.18.3), R6, rlang, tibble, vctrs (≥ 0.3.6) |
| Suggests: | covr, knitr, lubridate, mgcv, nycflights13, rmarkdown, testthat (≥ 3.0.0), vroom |
| Published: | 2021-02-08 |
| Author: | Hadley Wickham [aut, cre], RStudio [cph] |
| Maintainer: | Hadley Wickham <hadley at rstudio.com> |
| BugReports: | https://github.com/tidyverse/multidplyr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/tidyverse/multidplyr |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | multidplyr results |
| Reference manual: | multidplyr.pdf |
| Vignettes: |
An introduction to multidplyr |
| Package source: | multidplyr_0.1.0.tar.gz |
| Windows binaries: | r-devel: multidplyr_0.1.0.zip, r-release: multidplyr_0.1.0.zip, r-oldrel: multidplyr_0.1.0.zip |
| macOS binaries: | r-release: multidplyr_0.1.0.tgz, r-oldrel: multidplyr_0.1.0.tgz |
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