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mcprogress: Progress Bars and Messages for Parallel Processes

Tools for monitoring progress during parallel processing. Lightweight package which acts as a wrapper around mclapply() and adds a progress bar to it in 'RStudio' or 'Linux' environments. Simply replace your original call to mclapply() with pmclapply(). A progress bar can also be displayed during parallelisation via the 'foreach' package. Also included are functions to safely print messages (including error messages) from within parallelised code, which can be useful for debugging parallelised R code.

Version: 0.1.1
Imports: parallel
Suggests: knitr, rmarkdown, rstudioapi
Published: 2024-09-26
DOI: 10.32614/CRAN.package.mcprogress
Author: Myles Lewis ORCID iD [aut, cre]
Maintainer: Myles Lewis <myles.lewis at qmul.ac.uk>
BugReports: https://github.com/myles-lewis/mcprogress/issues
License: GPL (≥ 3)
URL: https://github.com/myles-lewis/mcprogress
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mcprogress results

Documentation:

Reference manual: mcprogress.pdf
Vignettes: mcprogress (source, R code)

Downloads:

Package source: mcprogress_0.1.1.tar.gz
Windows binaries: r-devel: mcprogress_0.1.1.zip, r-release: mcprogress_0.1.1.zip, r-oldrel: mcprogress_0.1.1.zip
macOS binaries: r-release (arm64): mcprogress_0.1.1.tgz, r-oldrel (arm64): mcprogress_0.1.1.tgz, r-release (x86_64): mcprogress_0.1.1.tgz, r-oldrel (x86_64): mcprogress_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mcprogress to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.