wrswoR.benchmark

Benchmark and Correctness Data for Weighted Random Sampling Without Replacement

Includes performance measurements and results of repeated experiment runs (for correctness checks) for code in the 'wrswoR' package.

Benchmarks for a package with different implementations of weighted random sampling without replacement.

devtools::install_github(c('krlmlr/wrswoR', 'krlmlr/wrswoR.benchmark'))

News

wrswoR.benchmark 0.2 (2017-08-21)

  • Results for up to n = 10⁷.
  • New timing_sort dataset.

Version 0.1 (2016-02-09)

First attempt of a CRAN release.

  • Datasets: break_even, timings, p_values_7, p_values_agg, p_values_agg_agg.
  • Rejected because it's too big.

Version 0.0-4 (2016-02-09)

  • Prepare CRAN release.

Version 0.0-3 (2016-02-04)

  • New simulation runs with wider ranges and using ceiling() to compute size from r.
  • Removed outdated vignette.
  • Use wercker.
  • Fix winbuilder errors

0.0-2 (2016-01-12)

  • Datasets: break_even, timings, correctness, p_values_7, p_values_agg, p_values_agg_agg.
  • Dataset correctness pending removal.

0.0-1 (2015-07-19)

  • Extract from wrswoR package.

Reference manual

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install.packages("wrswoR.benchmark")

0.2.1 by Kirill Müller, 9 months ago

https://github.com/krlmlr/wrswoR.benchmark, https://github.com/krlmlr/wrswoR.benchmark

Report a bug at https://github.com/krlmlr/wrswoR.benchmark/issues

Browse source code at https://github.com/cran/wrswoR.benchmark

Authors: Kirill Müller [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports curl, lazyeval

Suggests dplyr, ggplot2, knitr, microbenchmark, rmarkdown, tibble, tidyr

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