Package: gsample 0.1.0

Valerio Gherardi

gsample: Efficient Weighted Sampling Without Replacement

Sample without replacement using the Gumbel-Max trick (c.f. \url{https://arxiv.org/pdf/1903.06059.pdf}).

Authors:Valerio Gherardi

gsample_0.1.0.tar.gz
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gsample.pdf |gsample.html✨
gsample/json (API)

# Install 'gsample' in R:
install.packages('gsample', repos = c('https://vgherard.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/vgherard/gsample/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

random-sampling

2.00 score 2 stars 3 scripts 2 exports 1 dependencies

Last updated 4 years agofrom:5b1bbc8e76. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-win-x86_64ERRORNov 12 2024
R-4.5-linux-x86_64ERRORNov 12 2024
R-4.4-win-x86_64ERRORNov 12 2024
R-4.4-mac-x86_64ERRORNov 12 2024
R-4.4-mac-aarch64ERRORNov 12 2024
R-4.3-win-x86_64ERRORNov 12 2024
R-4.3-mac-x86_64ERRORNov 12 2024
R-4.3-mac-aarch64ERRORNov 12 2024

Exports:gsamplegsample.int

Dependencies:Rcpp