pbapply: Adding Progress Bar to '*apply' Functions

A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Functions can exploit parallel processing resources.

Version: 1.3-1
Depends: R (≥ 3.2.0)
Imports: parallel
Published: 2016-10-31
Author: Peter Solymos [aut, cre], Zygmunt Zawadzki [aut]
Maintainer: Peter Solymos <solymos at ualberta.ca>
BugReports: https://github.com/psolymos/pbapply/issues
License: GPL-2
URL: https://github.com/psolymos/pbapply
NeedsCompilation: no
In views: HighPerformanceComputing
CRAN checks: pbapply results


Reference manual: pbapply.pdf
Package source: pbapply_1.3-1.tar.gz
Windows binaries: r-devel: pbapply_1.3-1.zip, r-release: pbapply_1.3-1.zip, r-oldrel: pbapply_1.3-1.zip
OS X Mavericks binaries: r-release: pbapply_1.3-1.tgz, r-oldrel: pbapply_1.3-1.tgz
Old sources: pbapply archive

Reverse dependencies:

Reverse depends: A3, detect, mefa4, opticut
Reverse imports: activity, BayesFactor, caretEnsemble, easyVerification, extremeStat, fragilityindex, HeritSeq, mirtCAT, phylopath, predictionInterval, replicationInterval, ResourceSelection, RFinfer, SimDesign, sNPLS, warbleR, WikiSocio, zebu
Reverse suggests: berryFunctions, DSsim, eyetrackingR, pedometrics


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