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 exports 2 stars 0.09 score 1 dependencies

Last updated 3 years agofrom:5b1bbc8e768417389b6ca1451e80f93457cbcfba

Exports:gsamplegsample.int

Dependencies:Rcpp