qcr: Quality Control Review

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'), provides nonparametric tools that are highly useful when Gaussian assumption is not met. This package computes standard univariate control charts for individual measurements, 'X-bar', '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 feature, multivariate nonparametric alternatives based on data depth are implemented in this package: 'r', 'Q' and 'S' control charts. In addition, Phase I and II control charts for functional data are included. This package also allows the estimation of 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. See Flores et al. (2021) <doi:10.32614/RJ-2021-034>.

Getting started

Package details

AuthorMiguel Flores [aut, cre] (<https://orcid.org/0000-0002-7742-1247>), Ruben Fernandez-Casal [aut] (<https://orcid.org/0000-0002-5785-3739>), Salvador Naya [aut], Javier Tarrio-Saavedra [aut]
MaintainerMiguel Flores <ma.flores@outlook.com>
LicenseGPL (>= 2)
Version1.4
URL https://github.com/mflores72000/qcr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("qcr")

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qcr documentation built on March 18, 2022, 6 p.m.