AccSamplingDesign: Acceptance Sampling Plans Design

Provides tools for designing and analyzing acceptance sampling plans. Supports both attribute-based (Binomial and Poisson) and variable-based (Normal and Beta) sampling, enabling quality control for fractional and compositional data. Uses nonlinear programming (NLP) for sampling plan optimization, minimizing sample size while balancing producer's and consumer's risks. Operating Characteristic (OC) curves are available for plan visualization.

Version:	0.0.1
Imports:	stats, methods
Suggests:	knitr, rmarkdown
Published:	2025-04-30
DOI:	10.32614/CRAN.package.AccSamplingDesign
Author:	Ha Truong [aut, cre, cph], Victor Miranda [ths, rev], Roger Kissling [ths, rev]
Maintainer:	Ha Truong <truongvietha87 at gmail.com>
BugReports:	https://github.com/vietha/AccSamplingDesign/issues
License:	GPL-3
URL:	https://github.com/vietha/AccSamplingDesign
NeedsCompilation:	no
Materials:	README
CRAN checks:	AccSamplingDesign results

Documentation:

Reference manual:	AccSamplingDesign.pdf
Vignettes:	AccSamplingDesign: Acceptance Sampling Plan Design - R Package (source, R code)

Downloads:

Package source:	AccSamplingDesign_0.0.1.tar.gz
Windows binaries:	r-devel: AccSamplingDesign_0.0.1.zip, r-release: AccSamplingDesign_0.0.1.zip, r-oldrel: AccSamplingDesign_0.0.1.zip
macOS binaries:	r-release (arm64): AccSamplingDesign_0.0.1.tgz, r-oldrel (arm64): AccSamplingDesign_0.0.1.tgz, r-release (x86_64): AccSamplingDesign_0.0.1.tgz, r-oldrel (x86_64): AccSamplingDesign_0.0.1.tgz

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