Package: rQCC 2.22.12
Chanseok Park
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, 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).
Authors:
rQCC_2.22.12.tar.gz
rQCC_2.22.12.zip(r-4.5)rQCC_2.22.12.zip(r-4.4)rQCC_2.22.12.zip(r-4.3)
rQCC_2.22.12.tgz(r-4.4-any)rQCC_2.22.12.tgz(r-4.3-any)
rQCC_2.22.12.tar.gz(r-4.5-noble)rQCC_2.22.12.tar.gz(r-4.4-noble)
rQCC_2.22.12.tgz(r-4.4-emscripten)rQCC_2.22.12.tgz(r-4.3-emscripten)
rQCC.pdf |rQCC.html✨
rQCC/json (API)
NEWS
| # Install 'rQCC' in R: |
| install.packages('rQCC', repos = c('https://appliedstat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/appliedstat/r/issues
- n.times.eBias.of.mad - Empirical biases
- n.times.eBias.of.shamos - Empirical biases
- n.times.eVar.of.HL1 - Empirical variances
- n.times.eVar.of.HL2 - Empirical variances
- n.times.eVar.of.HL3 - Empirical variances
- n.times.eVar.of.mad - Empirical variances
- n.times.eVar.of.median - Empirical variances
- n.times.eVar.of.shamos - Empirical variances
control-chartgoodness-of-fitr-languageweibull
Last updated 11 months agofrom:bd34801eaf. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | OK | Nov 19 2024 |
| R-4.5-linux | OK | Nov 19 2024 |
| R-4.4-win | OK | Nov 19 2024 |
| R-4.4-mac | OK | Nov 19 2024 |
| R-4.3-win | OK | Nov 19 2024 |
| R-4.3-mac | OK | Nov 19 2024 |
Exports:accc4.factorevarfactors.ccfinite.breakdownHLmad.unbiasedmad2.unbiasedplot.accplot.raccplot.rccpooledEstimatorprint.accprint.raccprint.rccraccrccREsd.unbiasedshamosshamos.unbiasedshamos2.unbiasedsummary.accsummary.raccsummary.rccw4.factor
Dependencies:
Attributes control charts (acc) in the rQCC package
Rendered fromacc.Rnwusingutils::Sweaveon Nov 19 2024.Last update: 2022-12-28
Started: 2022-01-25
Factors for constructing control limits in the rQCC package
Rendered fromfactors.cc.Rnwusingutils::Sweaveon Nov 19 2024.Last update: 2022-12-28
Started: 2020-07-01
Pooled location and scale estimators
Rendered frompooledEstimator.Rnwusingutils::Sweaveon Nov 19 2024.Last update: 2022-12-28
Started: 2022-12-28
Robust g-type attributes control charts (racc) in the rQCC package
Rendered fromracc.Rnwusingutils::Sweaveon Nov 19 2024.Last update: 2022-12-28
Started: 2022-05-23
Robut control charts (rcc) in the rQCC package
Rendered fromrcc.Rnwusingutils::Sweaveon Nov 19 2024.Last update: 2022-12-28
Started: 2020-07-01
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Attributes control chart with balanced/unbalanced samples | acc print.acc summary.acc |
| Empirical variances of robust estimators | evar |
| Factors for constructing control charts | factors.cc |
| Finite-sample breakdown point | finite.breakdown |
| Hodges-Lehmann estimator | HL |
| Median absolute deviation (MAD) | mad.unbiased mad2.unbiased |
| Empirical biases (times n) | n.times.eBias.of.mad n.times.eBias.of.shamos |
| Empirical variances (times n) | n.times.eVar.of.HL1 n.times.eVar.of.HL2 n.times.eVar.of.HL3 n.times.eVar.of.mad n.times.eVar.of.median n.times.eVar.of.shamos |
| Plot quality control chart | plot.acc plot.racc plot.rcc |
| Pooled Estimator | pooledEstimator |
| Relative efficiency (RE) | RE |
| Robust attributes control charts with balanced/unbalanced samples | print.racc racc summary.racc |
| Robust quality control chart with balanced/unbalanced samples | print.rcc rcc rQCC summary.rcc |
| Unbiased standard deviation | sd.unbiased |
| Shamos estimator | shamos shamos.unbiased shamos2.unbiased |
| Finite-sample unbiasing factor | c4.factor w4.factor |
