rbenchmark: Benchmarking Routine for R

Benchmarking of arbitrary R code, inspired by similar functionality in a Perl module, is implemented via a simple wrapper around system.time(). Given a specification of the benchmarking process (counts of replications, evaluation environment) and an arbitrary number of expressions, the function evaluates each of the expressions in the specified environment, replicating the evaluation as many times as specified, and returning the results conveniently wrapped into a data frame.

Version:	1.0.1
Published:	2026-06-14
DOI:	10.32614/CRAN.package.rbenchmark
Author:	Wacek Kusnierczyk [aut], Dirk Eddelbuettel [aut, cre], Berend Hasselman [aut]
Maintainer:	Dirk Eddelbuettel <edd at debian.org>
BugReports:	https://github.com/eddelbuettel/rbenchmark/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/eddelbuettel/rbenchmark
NeedsCompilation:	no
Materials:	ChangeLog
CRAN checks:	rbenchmark results

Documentation:

Reference manual:

rbenchmark.html , rbenchmark.pdf

Downloads:

Package source:	rbenchmark_1.0.1.tar.gz
Windows binaries:	r-devel: rbenchmark_1.0.1.zip, r-release: rbenchmark_1.0.1.zip, r-oldrel: rbenchmark_1.0.1.zip
macOS binaries:	r-release (arm64): rbenchmark_1.0.1.tgz, r-oldrel (arm64): rbenchmark_1.0.1.tgz, r-release (x86_64): rbenchmark_1.0.1.tgz, r-oldrel (x86_64): rbenchmark_1.0.1.tgz
Old sources:	rbenchmark archive

Reverse dependencies:

Reverse suggests:

aoos, BioQC, clusterCrit, dat, digest, doRNG, fourierin, glassoFast, hash, mkin, phyr, PMwR, psd, Rcpp, RcppCNPy, RcppZiggurat, rucrdtw, storr, TapeS, twdtw, vMF

Linking:

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