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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.