pbmcapply: Tracking the Progress of Mc*pply with Progress Bar (original) (raw)
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: | 1.5.1 |
|---|---|
| Depends: | utils, parallel |
| Published: | 2022-04-28 |
| DOI: | 10.32614/CRAN.package.pbmcapply |
| 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 |
| URL: | https://github.com/kvnkuang/pbmcapply |
| NeedsCompilation: | yes |
| CRAN checks: | pbmcapply results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: | adaptDiag, ASpli, boot.heterogeneity, CAISEr, CALANGO, cpam, fastpos, fungible, gemini, ghypernet, glmmSeq, goldilocks, GREMLINS, mappp, mvMORPH, navigation, opdisDownsampling, PopComm, quickPWCR, RAINBOWR, ROSeq, sccore, scDesign3, scSpatialSIM, seqsetvis, SignacX, sobolnp, SP2000, spatialTIME, streetscape, vesselr, viewscape, WhatIf |
|---|---|
| Reverse suggests: | AgePopDenom, HelpersMG, imagefluency, progressr, robber, tidybulk |
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