The R Journal: accepted article

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Statistical Quality Control with the qcr Package PDF download
Miguel Flores, Rubén Fernández-Casal, Salvador Naya and Javier Tarrío-Saavedra

Abstract The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a comprehensive set of univariate and multivariate SQC tools that completes and increases the SQC techniques available in R. Apart from integrating different R packages devoted to SQC (qcc, MSQC), qcr provides nonparametric tools that are highly useful when Gaussian assumption is not met. This package computes standard univariate control charts for individual measurements, EWMA and CUSUM. In addition, it includes functions to perform multivariate control charts such as Hotelling T2 , MEWMA and MCUSUM. As representative feature, multivariate nonparametric alternatives based on data depth are implemented in this package. The qcr library also estimates the most complete set of capability indices from first to fourth generation, covering the nonparametric alternatives, and performing the corresponding capability analysis graphical outputs, including the process capability plots. Moreover, Phase I and II control charts for functional data are included. Prácticas de CEC con R

Received: 2020-05-07; online 2021-06-07
CRAN packages: qcr, qcc, MSQC, IQCC, SixSigma, spcadjust, spc, MPCI, edcc


CC BY 4.0
This article is licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-034,
  author = {Miguel Flores and Rubén Fernández-Casal and Salvador Naya
          and Javier Tarrío-Saavedra},
  title = {{Statistical Quality Control with the qcr Package}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-034},
  url = {https://journal.r-project.org/archive/2021/RJ-2021-034/index.html}
}