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)
This package implements univariate and multivariate Statistical Quality Control (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.
This package also 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.
Flores, M., Fernández-Casal, R., Naya, S.., and Tarrío-Saavedra, J. (2021). Statistical Quality Control with the qcr Package. The R Journal, 13, 194-217, DOI.
Flores, M., Naya, S., Fernández-Casal, R., Zaragoza, S., Raña, P., and Tarrío-Saavedra, J. (2020). Constructing a control chart using functional data. Mathematics, 8, 58, DOI.