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microbenchmark
View on CRAN: Click
here
Download and install microbenchmark package within the R console
Install from CRAN:
install.packages("microbenchmark")
Install from Github:
library("remotes")
install_github("cran/microbenchmark")
Install by package version:
library("remotes")
install_version("microbenchmark", "1.5.0")
Attach the package and use:
library("microbenchmark")
Maintained by
Joshua M. Ulrich
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-17
Latest Update: 2023-04-28
Description:
Provides infrastructure to accurately measure and compare
the execution time of R expressions.
How to cite:
Joshua M. Ulrich (2011). microbenchmark: Accurate Timing Functions. R package version 1.5.0, https://cran.r-project.org/web/packages/microbenchmark. Accessed 17 Oct. 2024.
Previous versions and publish date:
1.0-2 (2011-01-17 10:42), 1.1-0 (2011-04-07 17:08), 1.1-2 (2011-10-10 15:41), 1.1-3 (2011-10-19 11:34), 1.3-0 (2013-02-20 15:05), 1.4-2.1 (2015-11-25 12:02), 1.4-2 (2014-09-28 18:38), 1.4-3 (2018-01-08 09:44), 1.4-4 (2018-01-24 13:17), 1.4-5 (2018-10-09 23:50), 1.4-6 (2018-10-18 13:30), 1.4-7 (2019-09-24 13:00), 1.4.8 (2021-10-31 17:40), 1.4.9 (2021-11-09 18:00), 1.4.10 (2023-04-28 23:20)
Other packages that cited microbenchmark R package
View microbenchmark citation profile
Other R packages that microbenchmark depends,
imports, suggests or enhances
Complete documentation for microbenchmark
Functions, R codes and Examples using
the microbenchmark R package
Some associated functions: autoplot.microbenchmark . boxplot.microbenchmark . coalesce . convert_to_unit . find_prefix . get_nanotime . microbenchmark . microtiming_precision . normalize_unit . print.microbenchmark . summary.microbenchmark .
Some associated R codes: autoplot.R . boxplot.R . internal.R . microbenchmark.R . microtiming_precision.R . nanotime.R . print.R . summary.R . zzz.R . Full microbenchmark package functions and examples
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