Port variant standard
Summary Inclusive, Unifying API for Progress Updates
Package version 0.10.0
Homepage https://progressr.futureverse.org
Keywords cran
Maintainer CRAN Automaton
License Not yet specified
Other variants There are no other variants.
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Last modified 20 DEC 2021, 02:07:19 UTC
Port created 04 SEP 2021, 18:22:47 UTC
Subpackage Descriptions
single progressr: An Inclusive, Unifying API for Progress Updates A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar() or progress::progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beep::beepr(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce API:s like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel processing via the 'future' framework, e.g. future.apply::future_lapply(), furrr::future_map(), and 'foreach' with 'doFuture'. The package is compatible with Shiny applications.
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:single:ravensys
Build and Runtime R-digest:single:standard
Runtime (only) R:complete:standard
Download groups
main mirror://CRAN/src/contrib
Distribution File Information
4c95dc11c50c792440fa17f4538d59f1f3012bf6ef462a5a141609f87319badc 108757 CRAN/progressr_0.10.0.tar.gz
Ports that require R-progressr:standard
R-lava:standard Latent Variable Models