Package: hypersampleplan 0.1.1
hypersampleplan: Attribute Sampling Plan with Exact Hypergeometric Probabilities using Chebyshev Polynomials
Implements an algorithm for efficient and exact calculation of hypergeometric and binomial probabilities using Chebyshev polynomials, while other algorithm use an approximation when N is large. A useful applications is also considered in this package for the construction of attribute sampling plans which is an important field of statistical quality control. The quantile, and the confidence limit for the attribute sampling plan are also implemented in this package. The hypergeometric distribution can be represented in terms of Chebyshev polynomials. This representation is particularly useful in the calculation of exact values of hypergeometric variables.
Authors:
hypersampleplan_0.1.1.tar.gz
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hypersampleplan_0.1.1.tgz(r-4.4-any)hypersampleplan_0.1.1.tgz(r-4.3-any)
hypersampleplan_0.1.1.tar.gz(r-4.5-noble)hypersampleplan_0.1.1.tar.gz(r-4.4-noble)
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hypersampleplan.pdf |hypersampleplan.html✨
hypersampleplan/json (API)
# Install 'hypersampleplan' in R: |
install.packages('hypersampleplan', repos = c('https://xbjxh.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:81ef7b46f5. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 16 2024 |
R-4.5-win | OK | Oct 16 2024 |
R-4.5-linux | OK | Oct 16 2024 |
R-4.4-win | OK | Oct 16 2024 |
R-4.4-mac | OK | Oct 16 2024 |
R-4.3-win | OK | Oct 16 2024 |
R-4.3-mac | OK | Oct 16 2024 |
Exports:binomialquantilebinomialtablehypergeoquantilehypergeotablehypersampleplanhypersampleplan.CLhypersampleplan.fixedn
Dependencies: