rQCC: Robust Quality Control Chart

Constructs various robust quality control charts based on the median or Hodges-Lehmann estimator (location) and the median absolute deviation (MAD) or Shamos estimator (scale). The estimators used for the robust control charts are all unbiased with a sample of finite size. For more details, see Park, Kim and Wang (2022) <doi:10.1080/03610918.2019.1699114>. In addition, using this R package, the conventional quality control charts such as X-bar, S, R, p, np, u, c, g and h charts are also easily constructed. This work was partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (NRF-2017R1A2B4004169).

Version: 2.22.5
Depends: R (≥ 3.2.3)
Published: 2022-05-23
Author: Chanseok Park ORCID iD [aut, cre], Min Wang ORCID iD [ctb]
Maintainer: Chanseok Park <statpnu at gmail.com>
BugReports: https://GitHub.com/AppliedStat/R/issues
License: GPL-2 | GPL-3
URL: https://AppliedStat.GitHub.io/R/
NeedsCompilation: no
Citation: rQCC citation info
Materials: NEWS
CRAN checks: rQCC results


Reference manual: rQCC.pdf
Vignettes: Attributes control charts acc in the rQCC package
Factors for constructing control limits
Robust g-type attributes control charts (racc) in the rQCC package
A note on the "rcc" function in the "rQCC" package


Package source: rQCC_2.22.5.tar.gz
Windows binaries: r-devel: rQCC_2.22.5.zip, r-release: rQCC_2.22.5.zip, r-oldrel: rQCC_2.22.5.zip
macOS binaries: r-release (arm64): rQCC_2.22.5.tgz, r-oldrel (arm64): rQCC_2.22.5.tgz, r-release (x86_64): rQCC_2.22.5.tgz, r-oldrel (x86_64): rQCC_2.22.5.tgz
Old sources: rQCC archive


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