Package: orderstats 0.1.0
orderstats: Efficiently Generates Random Order Statistic Variables
All the methods in this package generate a vector of uniform order statistics using a beta distribution and use an inverse cumulative distribution function for some distribution to give a vector of random order statistic variables for some distribution. This is much more efficient than using a loop since it is directly sampling from the order statistic distribution.
Authors:
orderstats_0.1.0.tar.gz
orderstats_0.1.0.zip(r-4.5)orderstats_0.1.0.zip(r-4.4)orderstats_0.1.0.zip(r-4.3)
orderstats_0.1.0.tgz(r-4.4-any)orderstats_0.1.0.tgz(r-4.3-any)
orderstats_0.1.0.tar.gz(r-4.5-noble)orderstats_0.1.0.tar.gz(r-4.4-noble)
orderstats_0.1.0.tgz(r-4.4-emscripten)orderstats_0.1.0.tgz(r-4.3-emscripten)
orderstats.pdf |orderstats.html✨
orderstats/json (API)
| # Install 'orderstats' in R: |
| install.packages('orderstats', repos = c('https://programmersims.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:49a7767239. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 17 2024 |
| R-4.5-win | OK | Nov 17 2024 |
| R-4.5-linux | OK | Nov 17 2024 |
| R-4.4-win | OK | Nov 17 2024 |
| R-4.4-mac | OK | Nov 17 2024 |
| R-4.3-win | OK | Nov 17 2024 |
| R-4.3-mac | OK | Nov 17 2024 |
Exports:order_probsorder_rcauchyorder_rchisqorder_rexporder_rgammaorder_rlogisorder_rnorm
Dependencies:
