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hypersampleplan  

Attribute Sampling Plan with Exact Hypergeometric Probabilities using Chebyshev Polynomials
View on CRAN: Click here


Download and install hypersampleplan package within the R console
Install from CRAN:
install.packages("hypersampleplan")

Install from Github:
library("remotes")
install_github("cran/hypersampleplan")

Install by package version:
library("remotes")
install_version("hypersampleplan", "0.1.1")



Attach the package and use:
library("hypersampleplan")
Maintained by
XU Hang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-02
Latest Update: 2017-06-02
Description:
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.
How to cite:
XU Hang (2017). hypersampleplan: Attribute Sampling Plan with Exact Hypergeometric Probabilities using Chebyshev Polynomials. R package version 0.1.1, https://cran.r-project.org/web/packages/hypersampleplan. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.1.1 (2017-06-02 19:56)
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Complete documentation for hypersampleplan
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