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:
1.5.1
Depends:
utils, parallel
Published:
2022年04月28日
Author:
Kevin Kuang (aut), Quyu Kong (ctb), Francesco Napolitano (ctb)
Maintainer:
Kevin kuang <kvn.kuang at mail.utoronto.ca>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Reverse imports:
adaptDiag,
ASpli,
boot.heterogeneity,
CAISEr,
CALANGO,
cellGeometry,
cpam,
eFCM,
factorEx,
fastpos,
fungible,
gemini,
ghypernet,
goldilocks,
GREMLINS,
letsHerp,
letsRept,
mappp,
multiDEGGs,
mvMORPH,
navigation,
opdisDownsampling,
plnr,
PopComm,
quickPWCR,
RAINBOWR,
ROSeq,
sccore,
scDesign3,
scSpatialSIM,
seqsetvis,
SignacX,
sobolnp,
SP2000,
spatialTIME,
stPipe,
streetscape,
SurrogateRank,
viewscape,
WhatIf
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=pbmcapply
to link to this page.