rbenchmark: Benchmarking routine for R

rbenchmark is inspired by the Perl module Benchmark, and is intended to facilitate benchmarking of arbitrary R code. The library consists of just one function, benchmark, which is a simple wrapper around system.time. Given a specification of the benchmarking process (counts of replications, evaluation environment) and an arbitrary number of expressions, benchmark 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:	1.0.0
Published:	2012-08-30
Author:	Wacek Kusnierczyk [aut, cre], Dirk Eddelbuettel [ctb], Berend Hasselman [ctb]
Maintainer:	Wacek Kusnierczyk <waku at idi.ntnu.no>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://rbenchmark.googlecode.com
NeedsCompilation:	no
Materials:	ChangeLog
CRAN checks:	rbenchmark results

Documentation:

Reference manual:

rbenchmark.pdf

Downloads:

Package source:	rbenchmark_1.0.0.tar.gz
Windows binaries:	r-devel: rbenchmark_1.0.0.zip, r-release: rbenchmark_1.0.0.zip, r-oldrel: rbenchmark_1.0.0.zip
macOS binaries:	r-release (arm64): rbenchmark_1.0.0.tgz, r-oldrel (arm64): rbenchmark_1.0.0.tgz, r-release (x86_64): rbenchmark_1.0.0.tgz, r-oldrel (x86_64): rbenchmark_1.0.0.tgz
Old sources:	rbenchmark archive

Reverse dependencies:

Reverse depends:	dvmisc, stocks
Reverse imports:	FastGP
Reverse suggests:	aoos, BioQC, BSL, clusterCrit, dat, doRNG, dtwSat, fourierin, glassoFast, JacobiEigen, mkin, phyr, PMwR, psd, qwraps2, Rcpp, RcppZiggurat, rucrdtw, runstats, schumaker, storr, tracerer

Linking:

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