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rQCC (version 2.22.12)

Robust Quality Control Chart

Description

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) . In addition, using this R package, the conventional quality control charts such as X-bar, S, R, p, np, u, c, g, h, and t charts are also easily constructed. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1A2C1091319).

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Version

Install

install.packages('rQCC')

Monthly Downloads

245

Version

2.22.12

License

GPL-2 | GPL-3

Maintainer

Chanseok Park

Last Published

December 22nd, 2022

Functions in rQCC (2.22.12)

finite.sample.breakdown

Finite-sample breakdown point
relative.efficiency

Relative efficiency (RE)
attributes.chart.unbalanced

Attributes control chart with balanced/unbalanced samples
Hodges-Lehmann

Hodges-Lehmann estimator
factors.for.chart

Factors for constructing control charts
MAD

Median absolute deviation (MAD)
n.times.eBias

Empirical biases (times n)
Shamos

Shamos estimator
n.times.eVar

Empirical variances (times n)
empirical.variance

Empirical variances of robust estimators
plot

Plot quality control chart
sd.unbiased

Unbiased standard deviation
robust.attributes.chart.unbalanced

Robust attributes control charts with balanced/unbalanced samples
unbiasing.factor

Finite-sample unbiasing factor
pooled.Estimator

Pooled Estimator
robust.chart.unbalanced

Robust quality control chart with balanced/unbalanced samples