The R Journal: article published in 2021, volume 13:1

Statistical Quality Control with the qcr Package
Miguel Flores, Rubén Fernández-Casal, Salvador Naya and Javier Tarrío-Saavedra , The R Journal (2021) 13:1, pages 194-217.

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, x̄, S, R, p, np, c, u, EWMA, and CUSUM. In addition, it includes functions to perform multivariate control charts such as Hotelling T2 , MEWMA and MCUSUM. As representative features, multivariate nonparametric alternatives based on data depth are implemented in this package: r, Q and S control charts. The qcr library also estimates the most complete set of capability indices from first to the 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, supplementary material, (1.5 KiB)
CRAN packages: qcr, qcc, MSQC, IQCC, SixSigma, spcadjust, spc, MPCI, edcc

This article and supplementary materials are 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://doi.org/10.32614/RJ-2021-034},
  pages = {194--217},
  volume = {13},
  number = {1}
}