microbenchmark: Accurate Timing Functions

Provides infrastructure to accurately measure and compare the execution time of R expressions.

Version: 1.5.0
Depends: R (≥ 3.2.0)
Imports: graphics, stats
Suggests: ggplot2, multcomp, RUnit
Published: 2024-09-04
DOI: 10.32614/CRAN.package.microbenchmark
Author: Olaf Mersmann [aut], Claudia Beleites [ctb], Rainer Hurling [ctb], Ari Friedman [ctb], Joshua M. Ulrich [cre]
Maintainer: Joshua M. Ulrich <josh.m.ulrich at gmail.com>
BugReports: https://github.com/joshuaulrich/microbenchmark/issues/
License: BSD_2_clause + file LICENSE
URL: https://github.com/joshuaulrich/microbenchmark/
NeedsCompilation: yes
SystemRequirements: On a Unix-alike, one of the C functions mach_absolute_time (macOS), clock_gettime or gethrtime. If none of these is found, the obsolescent POSIX function gettimeofday will be tried.
CRAN checks: microbenchmark results

Documentation:

Reference manual: microbenchmark.pdf

Downloads:

Package source: microbenchmark_1.5.0.tar.gz
Windows binaries: r-devel: microbenchmark_1.5.0.zip, r-release: microbenchmark_1.5.0.zip, r-oldrel: microbenchmark_1.5.0.zip
macOS binaries: r-release (arm64): microbenchmark_1.5.0.tgz, r-oldrel (arm64): microbenchmark_1.5.0.tgz, r-release (x86_64): microbenchmark_1.5.0.tgz, r-oldrel (x86_64): microbenchmark_1.5.0.tgz
Old sources: microbenchmark archive

Reverse dependencies:

Reverse imports: BayesSpace, cola, data.table.threads, doBy, funGp, getDTeval, latentcor, mgwrsar, multivariance, profExtrema, TDAvec
Reverse suggests: abn, adestr, ADMMsigma, AhoCorasickTrie, ALUES, ast2ast, aum, bartcs, base64url, BBmisc, bigsnpr, bioregion, bit, brotli, carSurv, checkmate, collapse, colorSpec, colourvalues, comparer, container, cv, Cyclops, dawaR, dbscan, dde, DelayedMatrixStats, dendextend, dipsaus, dotCall64, dotprofile, dplyr, dpseg, DtD, dvmisc, EFAtools, ensr, evalR, fairadapt, familiar, fasterize, fastpos, fctbases, fddm, fio, flippant, fritools, fromo, FSelectorRcpp, GauPro, gemma.R, GeneralizedWendland, giniVarCI, git2rdata, goffda, gRain, gRbase, gRc, gsignal, hal9001, hdfqlr, hutils, hypergeo2, IncDTW, isoband, lbfgsb3c, lemna, log4r, lotri, m2r, marqLevAlg, maSAE, matrixStats, MaxMC, melt, MetaboAnnotation, mistral, mixOmics, MLML2R, mmrm, MsBackendSql, MSnbase, munsellinterpol, mvnfast, mvp, NetLogoR, nlsr, nLTT, NPflow, ohenery, optimParallel, osrmr, outbreaker2, pafr, pander, parglm, PeakSegJoint, PGRdup, philentropy, plotHMM, PoissonBinomial, polyCub, populR, prcbench, pROC, profmem, quanteda.textmodels, r2r, RaMS, ratelimitr, ravetools, rBiasCorrection, rco, RcppAlgos, RcppBessel, RcppBlaze, RcppEigen, RcppLbfgsBlaze, RcppMsgPack, RcppUUID, RcppZiggurat, rdhs, RDSsamplesize, readMDTable, revdbayes, rhoR, robustlmm, rsvddpd, rust, RWmisc, rxode2, salesforcer, scPCA, sentiment.ai, sf, SGDinference, simPop, simtimer, spacesRGB, spacesXYZ, SpectralTAD, strider, super, susieR, TADCompare, this.path, WeightedROC, wrswoR, zonohedra, zoomerjoin

Linking:

Please use the canonical form https://CRAN.R-project.org/package=microbenchmark to link to this page.