multidplyr: A Multi-Process 'dplyr' Backend

Partition a data frame across multiple worker processes to provide simple multicore parallelism.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: callr (≥ 3.5.1), crayon, dplyr (≥ 1.0.0), magrittr, qs (≥ 0.24.1), R6, rlang, tibble, vctrs (≥ 0.3.6), tidyselect
Suggests: covr, knitr, lubridate, mgcv, nycflights13, rmarkdown, testthat (≥ 3.0.2), vroom, withr
Published: 2021-12-01
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://multidplyr.tidyverse.org, https://github.com/tidyverse/multidplyr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: multidplyr results

Documentation:

Reference manual: multidplyr.pdf
Vignettes: An introduction to multidplyr

Downloads:

Package source: multidplyr_0.1.1.tar.gz
Windows binaries: r-devel: multidplyr_0.1.0.zip, r-release: multidplyr_0.1.1.zip, r-oldrel: multidplyr_0.1.0.zip
macOS binaries: r-release (arm64): multidplyr_0.1.0.tgz, r-release (x86_64): multidplyr_0.1.1.tgz, r-oldrel: multidplyr_0.1.1.tgz
Old sources: multidplyr archive

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