MPCI: An R Package for Computing Multivariate Process Capability Indices
Edgar Santos-Fernández and
Michele Scagliarini
Journal of Statistical Software, 2012, vol. 047, issue i07
Abstract:
Manufacturing processes are often based on more than one quality characteristic. When these variables are correlated the process capability analysis should be performed using multivariate statistical methodologies. Although there is a growing interest in methods for evaluating the capability of multivariate processes, little attention has been given to developing user friendly software for supporting multivariate capability analysis. In this work we introduce the package MPCI for R, which allows to compute multivariate process capability indices. MPCI aims to provide a useful tool for dealing with multivariate capability assessment problems. We illustrate the use of MPCI package through both simulated and real examples.
Date: 2012-04-25
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v047i07/v47i07.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... 07/MPCI_1.0.4.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v047i07/v47i07.R
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:047:i07
DOI: 10.18637/jss.v047.i07
Access Statistics for this article
Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis
More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().