Package: pbmcapply 1.5.1

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.

Authors:Kevin Kuang, Quyu Kong, Francesco Napolitano

pbmcapply_1.5.1.tar.gz
pbmcapply_1.5.1.zip(r-4.7-x86_64)pbmcapply_1.5.1.zip(r-4.7-arm64)pbmcapply_1.5.1.zip(r-4.6-x86_64)pbmcapply_1.5.1.zip(r-4.6-arm64)pbmcapply_1.5.1.zip(r-4.5-x86_64)
pbmcapply_1.5.1.tgz(r-4.6-x86_64)pbmcapply_1.5.1.tgz(r-4.6-arm64)pbmcapply_1.5.1.tgz(r-4.5-x86_64)pbmcapply_1.5.1.tgz(r-4.5-arm64)
pbmcapply_1.5.1.tar.gz(r-4.7-arm64)pbmcapply_1.5.1.tar.gz(r-4.7-x86_64)pbmcapply_1.5.1.tar.gz(r-4.6-arm64)pbmcapply_1.5.1.tar.gz(r-4.6-x86_64)
pbmcapply_1.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pbmcapply/json (API)

# Install 'pbmcapply' in R:
install.packages('pbmcapply', repos = c('https://kvnkuang.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kvnkuang/pbmcapply/issues

On CRAN:

Conda:

parallelizationprogress-bar

10.64 score 45 stars 80 packages 1.2k scripts 17k downloads 1 mentions 3 exports 0 dependencies

Last updated from:c302c2e78d. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK98
linux-devel-x86_64OK107
source / vignettesOK161
linux-release-arm64OK112
linux-release-x86_64OK103
macos-release-arm64OK67
macos-release-x86_64OK179
macos-oldrel-arm64OK84
macos-oldrel-x86_64OK243
windows-devel-arm64OK300
windows-devel-x86_64OK115
windows-release-arm64OK305
windows-release-x86_64OK50
windows-oldrel-x86_64OK58
wasm-releaseOK88

Exports:pbmclapplypbmcmapplyprogressBar

Dependencies: