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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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