pbmcapply: Tracking the Progress of Mc*pply with Progress Bar

A light-weight package helps you track and visualize the progress of parallel version of vectorized R functions (mc*apply). Parallelization (mc.core > 1) works only on *nix (Linux, Unix such as macOS) system due to the lack of fork() functionality, which is essential for mc*apply, on Windows.

Version: 1.5.0
Depends: utils, parallel
Published: 2019-07-10
Author: Kevin Kuang (aut), Quyu Kong (ctb), Francesco Napolitano (ctb)
Maintainer: Kevin kuang <kvn.kuang at mail.utoronto.ca>
BugReports: https://github.com/kvnkuang/pbmcapply/issues
License: MIT + file LICENSE
URL: https://github.com/kvnkuang/pbmcapply
NeedsCompilation: yes
CRAN checks: pbmcapply results


Reference manual: pbmcapply.pdf
Package source: pbmcapply_1.5.0.tar.gz
Windows binaries: r-devel: pbmcapply_1.5.0.zip, r-devel-UCRT: pbmcapply_1.5.0.zip, r-release: pbmcapply_1.5.0.zip, r-oldrel: pbmcapply_1.5.0.zip
macOS binaries: r-release (arm64): pbmcapply_1.5.0.tgz, r-release (x86_64): pbmcapply_1.5.0.tgz, r-oldrel: pbmcapply_1.5.0.tgz
Old sources: pbmcapply archive

Reverse dependencies:

Reverse imports: ASpli, boot.heterogeneity, CAISEr, concurve, factorEx, gemini, ghypernet, glmmSeq, goldilocks, GREMLINS, mvMORPH, opdisDownsampling, RAINBOWR, ROSeq, sccore, seqsetvis, SignacX, sobolnp, SP2000, vesselr, WhatIf
Reverse suggests: HelpersMG, progressr


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