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rQCC (version 2.22.5)

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 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).

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Version

Install

install.packages('rQCC')

Monthly Downloads

328

Version

2.22.5

License

GPL-2 | GPL-3

Maintainer

Chanseok Park

Last Published

May 23rd, 2022

Functions in rQCC (2.22.5)

n.times.eBias

Empirical biases (times n)
relative.efficiency

Relative efficiency (RE)
Shamos

Shamos estimator
attributes.control.chart.unbalanced

Attributes control chart with balanced/unbalanced samples
factors.for.control.chart

Factors for constructing control charts
n.times.eVar

Empirical variances (times n)
MAD

Median absolute deviation (MAD)
Hodges-Lehmann

Hodges-Lehmann estimator
empirical.variance

Empirical variances of robust estimators
finite.sample.breakdown

Finite-sample breakdown point
plot

Plot quality control chart
unbiasing.factor

Finite-sample unbiasing factor
sd.unbiased

Unbiased standard deviation
robust.attributes.control.chart.unbalanced

Robust g-type attributes control charts with balanced/unbalanced samples
robust.control.chart.unbalanced

Robust quality control chart with balanced/unbalanced samples
pooled.Estimator

Pooled Estimator